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Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
03/07/2023
Full time
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
About us:
Gower College Swansea is one of the largest colleges in Wales with a strong reputation for high quality teaching and learning. We have six campuses across the city with over 4,500 full time learners and 10,000 part time learners. We currently have a turnover of over £50 million making us a major employer in the region with approximately 1,000 staff.
At Gower College Swansea we are passionate about investing in our staff and looking after their wellbeing to ensure they feel supported in work and also at home.
The role:
You will be responsible for the delivery of high-quality Data Analytics apprenticeship training and assessment on our work-based learning contract.
37 hours per week
Permanent
£31,498 - £36,642 per annum
Jubilee Court, Swansea, SA5
Key Responsibilities:
Plan and deliver training and assessments across a range of courses ensuring schemes/records of work, assignment schedules, are appropriate to the syllabus content and awarding body standards
Work with customers in industry to maintain and build relationships and to secure contracts with existing and new organisations
Meet regularly with learners as determined by the programme delivery to establish and maintain monitoring and review arrangements for students undertaking training.
About you:
Level 4 qualification or equivalent in Data Analytics
Commercial knowledge, experience and understanding of industry, including training needs
Creative, innovative and enthusiastic
Benefits for you:
28 days annual leave, plus bank holidays, and the college is closed for two weeks over the Christmas period
Free Parking
A Local Government Pension Scheme with an average employer contribution of 21% (2023)
Free annual subscription to the Headspace Mindfulness app
Discounted study opportunities on College programmes
Hybrid Working
View more benefits here: https://www.gcs.ac.uk/recruitment/benefits-and-wellbeing
We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We particularly welcome applications from groups currently underrepresented within our organisation.
If you wish to continue your application journey using Welsh Language, please visit our Cymraeg site. We encourage Welsh Language applications as we recognise the importance of delivering services in Welsh, and the need to grow our bilingual workforce.
Gower College Swansea is committed to safeguarding and promoting the welfare of young people and expects all staff to share this commitment. Appointments are subject to an enhanced DBS check and require registration with the Education Workforce Council for Wales.
Appointments will normally be made to the bottom of the salary scale with annual increments on 1st August each year (subject to a start date before 1st February).
15/05/2023
Full time
About us:
Gower College Swansea is one of the largest colleges in Wales with a strong reputation for high quality teaching and learning. We have six campuses across the city with over 4,500 full time learners and 10,000 part time learners. We currently have a turnover of over £50 million making us a major employer in the region with approximately 1,000 staff.
At Gower College Swansea we are passionate about investing in our staff and looking after their wellbeing to ensure they feel supported in work and also at home.
The role:
You will be responsible for the delivery of high-quality Data Analytics apprenticeship training and assessment on our work-based learning contract.
37 hours per week
Permanent
£31,498 - £36,642 per annum
Jubilee Court, Swansea, SA5
Key Responsibilities:
Plan and deliver training and assessments across a range of courses ensuring schemes/records of work, assignment schedules, are appropriate to the syllabus content and awarding body standards
Work with customers in industry to maintain and build relationships and to secure contracts with existing and new organisations
Meet regularly with learners as determined by the programme delivery to establish and maintain monitoring and review arrangements for students undertaking training.
About you:
Level 4 qualification or equivalent in Data Analytics
Commercial knowledge, experience and understanding of industry, including training needs
Creative, innovative and enthusiastic
Benefits for you:
28 days annual leave, plus bank holidays, and the college is closed for two weeks over the Christmas period
Free Parking
A Local Government Pension Scheme with an average employer contribution of 21% (2023)
Free annual subscription to the Headspace Mindfulness app
Discounted study opportunities on College programmes
Hybrid Working
View more benefits here: https://www.gcs.ac.uk/recruitment/benefits-and-wellbeing
We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We particularly welcome applications from groups currently underrepresented within our organisation.
If you wish to continue your application journey using Welsh Language, please visit our Cymraeg site. We encourage Welsh Language applications as we recognise the importance of delivering services in Welsh, and the need to grow our bilingual workforce.
Gower College Swansea is committed to safeguarding and promoting the welfare of young people and expects all staff to share this commitment. Appointments are subject to an enhanced DBS check and require registration with the Education Workforce Council for Wales.
Appointments will normally be made to the bottom of the salary scale with annual increments on 1st August each year (subject to a start date before 1st February).
Senior/Principal Bioinformatics Engineer London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity This is an exciting opportunity for a Data Scientist/Computational Biologist with a focus on bioinformatics engineering. You will focus on building robust tools and pipelines that empower Relation's data scientists and experimental teams. As part of the Cross Indication team, you will play a critical role in enhancing the infrastructure needed to drive cutting-edge drug discovery. The Cross Indication team develops computational tools and pipelines in order to analyse large-scale biological datasets. The team's engineering efforts ensure the scalability and reproducibility of data workflows, enabling seamless integration of computational and experimental insights. Your responsibilities Design and implement scalable computational tools for multi-omics data analysis. Collaborate with data scientists to optimise computational pipelines. Develop and maintain bioinformatics infrastructure to support high-throughput analyses. Integrate and visualise large datasets to inform drug discovery efforts. Stay updated on the latest developments in bioinformatics and data engineering. Professionally, you have PhD in bioinformatics, computational biology, or software engineering. Proficiency in Python and experience in building bioinformatics tools. Strong understanding of multi-omics datasets and data processing techniques. Experience with cloud-based computing and scalable data infrastructure. Desirable knowledge or experiences Familiarity with containerisation tools like Docker or Kubernetes. Experience with workflow management tools like Nextflow or Snakemake. Knowledge of modern software development practices, including CI/CD. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Passionate about making a difference in patients' lives. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer.
06/02/2025
Full time
Senior/Principal Bioinformatics Engineer London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity This is an exciting opportunity for a Data Scientist/Computational Biologist with a focus on bioinformatics engineering. You will focus on building robust tools and pipelines that empower Relation's data scientists and experimental teams. As part of the Cross Indication team, you will play a critical role in enhancing the infrastructure needed to drive cutting-edge drug discovery. The Cross Indication team develops computational tools and pipelines in order to analyse large-scale biological datasets. The team's engineering efforts ensure the scalability and reproducibility of data workflows, enabling seamless integration of computational and experimental insights. Your responsibilities Design and implement scalable computational tools for multi-omics data analysis. Collaborate with data scientists to optimise computational pipelines. Develop and maintain bioinformatics infrastructure to support high-throughput analyses. Integrate and visualise large datasets to inform drug discovery efforts. Stay updated on the latest developments in bioinformatics and data engineering. Professionally, you have PhD in bioinformatics, computational biology, or software engineering. Proficiency in Python and experience in building bioinformatics tools. Strong understanding of multi-omics datasets and data processing techniques. Experience with cloud-based computing and scalable data infrastructure. Desirable knowledge or experiences Familiarity with containerisation tools like Docker or Kubernetes. Experience with workflow management tools like Nextflow or Snakemake. Knowledge of modern software development practices, including CI/CD. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Passionate about making a difference in patients' lives. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer.
Salary: £53,080.55 (gross) per annum inclusive of London Weighting, with a fixed sum allowance of £1,127. Location: Head Office - London Duration: Permanent The Labour Party is looking to recruit a Data Scientist. The post-holder will be responsible for supporting the work of the party in the analysis of voter behaviour, elections and campaigning, to contribute to Labour's political and organisational strategies through the use of data analysis, and lead on the measurement and reporting of campaign progress and campaign effects. The successful candidate will have: Strong understanding of statistical modelling, with a minimum of degree-level statistical understanding, or equivalent professional experience Strong experience conducting political polling and working with polling infrastructure and data flows, particularly using advanced methods and automated processes A proven track record of highly proficient data handling, using advanced functionality Ability to work effectively as part of a team To apply for this post, please complete an application form and equal opportunities form and send it to by no later than 09 February 2025. You must have the Right to Work in the UK to apply for this role. We offer a variety of benefits for our employees that include: 25-day annual leave (increases to 30 days after 10 years' service), pro-rated for part-time staff Additional 5 days of leave for the office closure period over Christmas and New Year All UK bank holidays Up to 10 days of annual leave can be carried over into 2025 Opportunity to join a CARE (Career Averaged Revalued Earnings) benefit scheme Flexible working opportunities Enhanced Maternity/Paternity/Adoption and Shared Parental Leave Staff Equality Networks and support: Women's, BAME, Disability & LGBTQ+ Employee assistance programme Cycle to work scheme (now including electric bikes) Season ticket loan Free eye test and money towards VDU use glasses The Labour Party values equality and diversity, and welcomes applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marriage and civil partnership, or pregnancy and maternity.
06/02/2025
Full time
Salary: £53,080.55 (gross) per annum inclusive of London Weighting, with a fixed sum allowance of £1,127. Location: Head Office - London Duration: Permanent The Labour Party is looking to recruit a Data Scientist. The post-holder will be responsible for supporting the work of the party in the analysis of voter behaviour, elections and campaigning, to contribute to Labour's political and organisational strategies through the use of data analysis, and lead on the measurement and reporting of campaign progress and campaign effects. The successful candidate will have: Strong understanding of statistical modelling, with a minimum of degree-level statistical understanding, or equivalent professional experience Strong experience conducting political polling and working with polling infrastructure and data flows, particularly using advanced methods and automated processes A proven track record of highly proficient data handling, using advanced functionality Ability to work effectively as part of a team To apply for this post, please complete an application form and equal opportunities form and send it to by no later than 09 February 2025. You must have the Right to Work in the UK to apply for this role. We offer a variety of benefits for our employees that include: 25-day annual leave (increases to 30 days after 10 years' service), pro-rated for part-time staff Additional 5 days of leave for the office closure period over Christmas and New Year All UK bank holidays Up to 10 days of annual leave can be carried over into 2025 Opportunity to join a CARE (Career Averaged Revalued Earnings) benefit scheme Flexible working opportunities Enhanced Maternity/Paternity/Adoption and Shared Parental Leave Staff Equality Networks and support: Women's, BAME, Disability & LGBTQ+ Employee assistance programme Cycle to work scheme (now including electric bikes) Season ticket loan Free eye test and money towards VDU use glasses The Labour Party values equality and diversity, and welcomes applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marriage and civil partnership, or pregnancy and maternity.
Data Scientist/ Comp Biologist - PhD Graduate - 12 month consulting contract London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity This is an exciting opportunity for recent PhD graduates to transition into the industry and contribute to cutting-edge computational biology projects. Over a 12-month period, you will gain hands-on experience in applying computational techniques to real-world challenges. As part of the Cross Indication team, you will work across multiple programme areas, applying computational methods to multi-omics data. This team supports target identification and validation efforts, combining biological insights with state-of-the-art computational tools. Your responsibilities Perform computational analyses on multi-omics datasets to support target discovery efforts. Collaborate with cross-functional teams to integrate computational findings into experimental workflows. Develop and refine computational pipelines for data analysis and visualisation. Contribute to advancing methodologies for interpreting complex biological datasets. Professionally, you have PhD in computational biology, bioinformatics, or a related field. Proficiency in Python for data analysis and computational modelling. Strong problem-solving and analytical skills in handling biological data. Ability to work effectively in interdisciplinary teams. Desirable knowledge or experiences Experience with single-cell data analysis. Familiarity with machine learning techniques in biological contexts. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Passionate about making a difference in patients' lives. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer. Note - This position is available as a contractor role via Hlx Life Sciences' services (inside IR35), remunerated on a daily rate.
06/02/2025
Full time
Data Scientist/ Comp Biologist - PhD Graduate - 12 month consulting contract London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity This is an exciting opportunity for recent PhD graduates to transition into the industry and contribute to cutting-edge computational biology projects. Over a 12-month period, you will gain hands-on experience in applying computational techniques to real-world challenges. As part of the Cross Indication team, you will work across multiple programme areas, applying computational methods to multi-omics data. This team supports target identification and validation efforts, combining biological insights with state-of-the-art computational tools. Your responsibilities Perform computational analyses on multi-omics datasets to support target discovery efforts. Collaborate with cross-functional teams to integrate computational findings into experimental workflows. Develop and refine computational pipelines for data analysis and visualisation. Contribute to advancing methodologies for interpreting complex biological datasets. Professionally, you have PhD in computational biology, bioinformatics, or a related field. Proficiency in Python for data analysis and computational modelling. Strong problem-solving and analytical skills in handling biological data. Ability to work effectively in interdisciplinary teams. Desirable knowledge or experiences Experience with single-cell data analysis. Familiarity with machine learning techniques in biological contexts. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Passionate about making a difference in patients' lives. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer. Note - This position is available as a contractor role via Hlx Life Sciences' services (inside IR35), remunerated on a daily rate.
Data Scientist, Monitoring Operations (London) Intelligence & Investigations - London, UK OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn. The Intelligence and Investigations team supports this by identifying and investigating misuses of our products - especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products. About the Role As a Data Scientist on the Monitoring Operations team, you will be responsible for building systems to proactively identify abuse on OpenAI's products. This includes ensuring we have robust monitoring in place for new products, and can sustain monitoring for existing products. You will also respond to critical escalations, especially those that are not caught by our existing safety systems. This will require expert understanding of our products and data, and involves working cross-functionally with product, policy, and engineering teams. This role is based in our London office and includes participation in an on-call rotation that will involve resolving urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise-disturbing material. In this role, you will: Scope and implement monitoring requirements for new product launches. This involves working with Product and Policy teams to understand key risks, and working with Engineering teams to ensure we have sufficient data and tooling. Improve processes to sustain monitoring operations for existing products. This includes developing approaches to automate monitoring subtasks. Experience prototyping and launching abuse detection. Comfort with and experience directly investigating bad actors or behaviours and/or working with investigative experts. You might thrive in this role if you: Have at least 4 years of experience doing technical analysis, especially in SQL and Python. Experience using LLMs to automate work. Experience developing/improving policies and/or human review protocols. Have experience in trust and safety and/or have worked closely with policy, enforcement, and engineering teams. Have experience with basic data engineering, such as building core tables or writing data pipelines (not expected to build infrastructure or write production code). Have experience scaling and automating processes, especially with language models. Compensation, Benefits and Perks This is a position with OpenAI UK Ltd., which controls the hiring and management of this position. Total compensation includes a competitive salary, generous equity, and benefits. Private medical insurance covering 100% of premiums for employees and their dependents Pension plan with 4% employer contribution 52 weeks of maternity leave and 24 weeks of parental leave Unlimited time off Annual learning & development stipend ($1,500 USD equivalent per year) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
06/02/2025
Full time
Data Scientist, Monitoring Operations (London) Intelligence & Investigations - London, UK OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn. The Intelligence and Investigations team supports this by identifying and investigating misuses of our products - especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products. About the Role As a Data Scientist on the Monitoring Operations team, you will be responsible for building systems to proactively identify abuse on OpenAI's products. This includes ensuring we have robust monitoring in place for new products, and can sustain monitoring for existing products. You will also respond to critical escalations, especially those that are not caught by our existing safety systems. This will require expert understanding of our products and data, and involves working cross-functionally with product, policy, and engineering teams. This role is based in our London office and includes participation in an on-call rotation that will involve resolving urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise-disturbing material. In this role, you will: Scope and implement monitoring requirements for new product launches. This involves working with Product and Policy teams to understand key risks, and working with Engineering teams to ensure we have sufficient data and tooling. Improve processes to sustain monitoring operations for existing products. This includes developing approaches to automate monitoring subtasks. Experience prototyping and launching abuse detection. Comfort with and experience directly investigating bad actors or behaviours and/or working with investigative experts. You might thrive in this role if you: Have at least 4 years of experience doing technical analysis, especially in SQL and Python. Experience using LLMs to automate work. Experience developing/improving policies and/or human review protocols. Have experience in trust and safety and/or have worked closely with policy, enforcement, and engineering teams. Have experience with basic data engineering, such as building core tables or writing data pipelines (not expected to build infrastructure or write production code). Have experience scaling and automating processes, especially with language models. Compensation, Benefits and Perks This is a position with OpenAI UK Ltd., which controls the hiring and management of this position. Total compensation includes a competitive salary, generous equity, and benefits. Private medical insurance covering 100% of premiums for employees and their dependents Pension plan with 4% employer contribution 52 weeks of maternity leave and 24 weeks of parental leave Unlimited time off Annual learning & development stipend ($1,500 USD equivalent per year) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior/Principal Data Scientist - Turing (LLM's, KGs & Graph) London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity Be part of the innovative Turing team, where you will leverage advanced computational technologies such as large language models (LLMs) and knowledge graphs (KGs). As a Senior/Principal Data Scientist, you will play a pivotal role in driving data-driven drug discovery through these cutting-edge approaches. The Turing team integrates computational and biological expertise to utilise knowledge graphs and Large Language Models in drug discovery. By connecting diverse datasets and computational outputs, the team enhances decision-making in target prioritisation and therapeutic development. Your responsibilities Develop and apply Graph and LLM base solutions/methods for drug target identification and validation. Integrate insights from omics and clinical data using graph-based models. Collaborate with interdisciplinary teams to align computational approaches with research goals. Design workflows to extract actionable insights from large-scale datasets. Advance methodologies for computational drug discovery using graph-based techniques. Professionally, you have PhD in computational biology, data science, or a related field. Expertise in LLMs, KGs, multi-agent reasoning systems or graph-based computational techniques. Proficiency in Python and frameworks for handling large-scale datasets. Strong understanding of the drug discovery pipeline and computational modelling. Desirable knowledge or experiences Experience integrating graph-based approaches with multi-omics data. Familiarity with graph database systems and their applications in biology. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Passionate about making a difference in patients' lives. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer.
06/02/2025
Full time
Senior/Principal Data Scientist - Turing (LLM's, KGs & Graph) London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity Be part of the innovative Turing team, where you will leverage advanced computational technologies such as large language models (LLMs) and knowledge graphs (KGs). As a Senior/Principal Data Scientist, you will play a pivotal role in driving data-driven drug discovery through these cutting-edge approaches. The Turing team integrates computational and biological expertise to utilise knowledge graphs and Large Language Models in drug discovery. By connecting diverse datasets and computational outputs, the team enhances decision-making in target prioritisation and therapeutic development. Your responsibilities Develop and apply Graph and LLM base solutions/methods for drug target identification and validation. Integrate insights from omics and clinical data using graph-based models. Collaborate with interdisciplinary teams to align computational approaches with research goals. Design workflows to extract actionable insights from large-scale datasets. Advance methodologies for computational drug discovery using graph-based techniques. Professionally, you have PhD in computational biology, data science, or a related field. Expertise in LLMs, KGs, multi-agent reasoning systems or graph-based computational techniques. Proficiency in Python and frameworks for handling large-scale datasets. Strong understanding of the drug discovery pipeline and computational modelling. Desirable knowledge or experiences Experience integrating graph-based approaches with multi-omics data. Familiarity with graph database systems and their applications in biology. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Passionate about making a difference in patients' lives. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer.
About Napo Napo is an exciting and rapidly expanding Insurtech start-up dedicated to revolutionising the pet insurance industry. Our mission is to create innovative, customer-centric and transparent products & services to ensure pet parents can keep their pets happy and healthy. Many see pet insurance as a boring but necessary expense, a safety net against unexpected vet bills. We're changing that. How? By being about more than just insurance and creating innovative, memorable experiences that our members love and keep coming back to. The Role As a Data Scientist with Napo, you're a core part of the Pricing & Product functions. You will report into the Head of Pricing and be part of a small highly impactful team. You'll leverage data to inform our pricing strategy and other product decisions, evaluate new opportunities, anticipate potential challenges, and guarantee that our products deliver the most value to our customers, their pets and Napo. For example, you will be working with: Our real-time pricing algorithm, which combines multiple ML models with decision logic to provide the best price for every customer. You will be, together with other Data Scientists, evaluating its performance, finding improvement opportunities and implementing them. Our business intelligence capabilities. You will be, together with other Data Scientists, finding actionable insights not only for the pricing algorithm improvements, but also producing recommendations to inform other teams' and Napo leadership's strategy. Our data infrastructure. You will collaborate with our Data Engineers to ensure that the data warehouse that powers both business intelligence and pricing is robust and meets our business needs. Skills we think you need You have the ability to apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our teams. You have the ability to manage your projects in a data-driven way, based on verifiable hypotheses and clear impact measurement. You have the ability to define, understand, and test opportunities and levers to improve the product, drive roadmaps through your insights and recommendations, and execute on those roadmaps using your technical skills. Experience that is important to us You have a Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. You have experience with SQL, scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Optional You have experience in insurance, pet insurance or pet insurance pricing Optional You have experience in machine learning, including deploying the trained models into production, testing and monitoring their performance. Optional You have experience developing, deploying and maintaining dashboards using interactive data visualization tools (e.g. Tableau, Power BI, Metabase, Looker) Behaviours (outside our values ) to be successful in the role Effective and open communication: It's crucial to communicate complex data findings in a clear and concise manner to non-technical stakeholders, and speak out when you see improvement opportunities (we are all here to learn) Critical Thinking: Beyond just crunching numbers, you always assess the validity and reliability of the recommendations you produce, by challenging both the assumptions and the underlying data. What we offer: Everyone is an owner at Napo; you will receive stock options on day 1 Flexible work environment (we ask people to come to office at least twice a week- we have a friendly office in central London - but of course happy to see each other more often too if preferred) Flexible leave policy (25 days annual holidays + bank holidays), plus your birthday as an additional day off! Budget for personal growth and training Some of our benefits: BUPA health insurance Pension scheme Unlimited GP video consultation (free Babylon Health membership) Our values: Be candid and authentic. We bring our true selves to work - who we wholly are. We are transparent and are not afraid to share information with each other - good and bad news. Trust and care for each other. We trust each other to do the right thing. We are not afraid to make mistakes, and we ask for help when we need it. We encourage each other; when people struggle, we help them. Do the right thing. We are fair to our customers, and we care about the well-being of their pets. When facing difficult decisions, we put ethics above profits. We always act in the best interest of the company. We are all owners and optimise for impact. We are always looking for the most impactful thing to work on. We take responsibility, and we're problem solvers - hold yourself and others accountable. Nothing is somebody else's problem; we are collaborative and always jump in to help where needed.
06/02/2025
Full time
About Napo Napo is an exciting and rapidly expanding Insurtech start-up dedicated to revolutionising the pet insurance industry. Our mission is to create innovative, customer-centric and transparent products & services to ensure pet parents can keep their pets happy and healthy. Many see pet insurance as a boring but necessary expense, a safety net against unexpected vet bills. We're changing that. How? By being about more than just insurance and creating innovative, memorable experiences that our members love and keep coming back to. The Role As a Data Scientist with Napo, you're a core part of the Pricing & Product functions. You will report into the Head of Pricing and be part of a small highly impactful team. You'll leverage data to inform our pricing strategy and other product decisions, evaluate new opportunities, anticipate potential challenges, and guarantee that our products deliver the most value to our customers, their pets and Napo. For example, you will be working with: Our real-time pricing algorithm, which combines multiple ML models with decision logic to provide the best price for every customer. You will be, together with other Data Scientists, evaluating its performance, finding improvement opportunities and implementing them. Our business intelligence capabilities. You will be, together with other Data Scientists, finding actionable insights not only for the pricing algorithm improvements, but also producing recommendations to inform other teams' and Napo leadership's strategy. Our data infrastructure. You will collaborate with our Data Engineers to ensure that the data warehouse that powers both business intelligence and pricing is robust and meets our business needs. Skills we think you need You have the ability to apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our teams. You have the ability to manage your projects in a data-driven way, based on verifiable hypotheses and clear impact measurement. You have the ability to define, understand, and test opportunities and levers to improve the product, drive roadmaps through your insights and recommendations, and execute on those roadmaps using your technical skills. Experience that is important to us You have a Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. You have experience with SQL, scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Optional You have experience in insurance, pet insurance or pet insurance pricing Optional You have experience in machine learning, including deploying the trained models into production, testing and monitoring their performance. Optional You have experience developing, deploying and maintaining dashboards using interactive data visualization tools (e.g. Tableau, Power BI, Metabase, Looker) Behaviours (outside our values ) to be successful in the role Effective and open communication: It's crucial to communicate complex data findings in a clear and concise manner to non-technical stakeholders, and speak out when you see improvement opportunities (we are all here to learn) Critical Thinking: Beyond just crunching numbers, you always assess the validity and reliability of the recommendations you produce, by challenging both the assumptions and the underlying data. What we offer: Everyone is an owner at Napo; you will receive stock options on day 1 Flexible work environment (we ask people to come to office at least twice a week- we have a friendly office in central London - but of course happy to see each other more often too if preferred) Flexible leave policy (25 days annual holidays + bank holidays), plus your birthday as an additional day off! Budget for personal growth and training Some of our benefits: BUPA health insurance Pension scheme Unlimited GP video consultation (free Babylon Health membership) Our values: Be candid and authentic. We bring our true selves to work - who we wholly are. We are transparent and are not afraid to share information with each other - good and bad news. Trust and care for each other. We trust each other to do the right thing. We are not afraid to make mistakes, and we ask for help when we need it. We encourage each other; when people struggle, we help them. Do the right thing. We are fair to our customers, and we care about the well-being of their pets. When facing difficult decisions, we put ethics above profits. We always act in the best interest of the company. We are all owners and optimise for impact. We are always looking for the most impactful thing to work on. We take responsibility, and we're problem solvers - hold yourself and others accountable. Nothing is somebody else's problem; we are collaborative and always jump in to help where needed.
Senior/Principal Data Scientist - Ada London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity Join the Ada team to explore the frontiers of transcriptomics and systems biology. As a Senior/Principal Data Scientist, you will focus on modelling biological perturbations and advancing our understanding of gene regulation, driving innovation in therapeutic discovery. The Ada team specialises in using single-cell transcriptomics and computational biology to identify and validate therapeutic targets. By integrating experimental and computational approaches, the team aims to uncover pathways and gene interactions critical to disease understanding. Your responsibilities Develop computational methods to analyse single-cell transcriptomics data. Collaborate with experimental teams to design and validate computational hypotheses. Model gene regulation and biological perturbations to inform target discovery. Lead efforts in pathway inference and advanced data integration methods. Contribute to computational workflows that drive experimental validation efforts. Professionally, you have PhD in computational biology, bioinformatics, systems biology or equivalent industry experience. Extensive experience with single-cell transcriptomics and pathway analysis. Proficiency in Python and machine learning applications in biology. Strong understanding of systems biology and gene regulatory networks. Desirable knowledge or experiences Experience designing computational models for biological validation. Familiarity with pathway inference tools and systems biology frameworks. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Passionate about making a difference in patients' lives. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting!
06/02/2025
Full time
Senior/Principal Data Scientist - Ada London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity Join the Ada team to explore the frontiers of transcriptomics and systems biology. As a Senior/Principal Data Scientist, you will focus on modelling biological perturbations and advancing our understanding of gene regulation, driving innovation in therapeutic discovery. The Ada team specialises in using single-cell transcriptomics and computational biology to identify and validate therapeutic targets. By integrating experimental and computational approaches, the team aims to uncover pathways and gene interactions critical to disease understanding. Your responsibilities Develop computational methods to analyse single-cell transcriptomics data. Collaborate with experimental teams to design and validate computational hypotheses. Model gene regulation and biological perturbations to inform target discovery. Lead efforts in pathway inference and advanced data integration methods. Contribute to computational workflows that drive experimental validation efforts. Professionally, you have PhD in computational biology, bioinformatics, systems biology or equivalent industry experience. Extensive experience with single-cell transcriptomics and pathway analysis. Proficiency in Python and machine learning applications in biology. Strong understanding of systems biology and gene regulatory networks. Desirable knowledge or experiences Experience designing computational models for biological validation. Familiarity with pathway inference tools and systems biology frameworks. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Passionate about making a difference in patients' lives. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting!
! We are not working with recruiters on this role ! Sequel is a community of the world's best athletes investing in the world's best startups, making a positive impact. We are on a mission to help athletes build legacies for their families and for the world. We are a seed-stage company founded and backed by experienced serial entrepreneurs with several successful exits. A world-class team is looking for a world-class full-time Data Scientist to help us build and improve our data tools to make better investment decisions. What you will be working on Implementing tools that surface trends in the investment world Strengthen our data-driven methods of identifying startups Improve our data-driven platform Senna We are here to win - not just to take part. Just like our clients who operate at the elite level of sport, we understand that in order to win; we need to put in the work. This means going the extra mile, being willing to do what others will not and holding ourselves to a higher standard. Some companies play to not lose, we play to win. We are proactive, decisive and have the courage to take risks. We pay it forward - we are always helpful. To customers, to partners and most importantly to each other. Not because it will 'pay back', because it's the right thing to do. We are adaptable - we understand in a world that is changing faster than ever before - the only constant is change. The average lifespan of a Fortune 100 company in 1958 was 61 years, now it is 18 years. We adapt to a changing world, constantly iterating, moving forward and staying relevant. Impossible is an opinion - we are on a mission to build something which has never been done before from the ground up. It will be a hard journey full of challenges which are currently unsolved. Our culture is defined by the fact that when we are confronted with challenges, we work from the assumption that it is possible to overcome them. We are transparent - we challenge each other. Regardless of title, seniority or reporting lines. We give feedback and we are hungry to receive it. We value honest feedback delivered with kindness, and we value people who ask questions. We always trust, respect and care for each other - it's no easy feat working in a startup, let alone one with goals as ambitious as ours. At Sequel, we believe no one is ever too busy to support fellow team members and that we should always be helpful, inclusive and selfless in the way we work. Diversity of background and thought is celebrated as we respect and appreciate what makes us all different. We don't tolerate free riders, egos or workplace politics. Who You Are You are interested in data science and research but also in applying your insights You previously worked at a VC firm or hedge fund in a data-facing role Proficient in TypeScript or Python An avid learner constantly exploring new technologies and tinkering with LLMs & vector databases You have a big interest in building systems that handle millions of data records You don't shy away from making data come to life working on the back- or if necessary also the frontend (i.e. retool) A brilliant communicator - you are not afraid to tell if something is going in the wrong direction and you want to correct early on You have an existing passion for or an interest in the worlds of startup investing and professional sport Bonus: You know your way around Firebase and GCP Benefits Meaningful options package Private healthcare We offer perks through Juno, a holistic perks platform Generous parental leave policy We believe our best work is done together in the office, but we offer flexibility for team members to work up to 1 day per week from home Choose your own equipment 25 days off + bank holidays £500 per year learning and development budget Gym Membership Contributions Cycle to work scheme
05/02/2025
Full time
! We are not working with recruiters on this role ! Sequel is a community of the world's best athletes investing in the world's best startups, making a positive impact. We are on a mission to help athletes build legacies for their families and for the world. We are a seed-stage company founded and backed by experienced serial entrepreneurs with several successful exits. A world-class team is looking for a world-class full-time Data Scientist to help us build and improve our data tools to make better investment decisions. What you will be working on Implementing tools that surface trends in the investment world Strengthen our data-driven methods of identifying startups Improve our data-driven platform Senna We are here to win - not just to take part. Just like our clients who operate at the elite level of sport, we understand that in order to win; we need to put in the work. This means going the extra mile, being willing to do what others will not and holding ourselves to a higher standard. Some companies play to not lose, we play to win. We are proactive, decisive and have the courage to take risks. We pay it forward - we are always helpful. To customers, to partners and most importantly to each other. Not because it will 'pay back', because it's the right thing to do. We are adaptable - we understand in a world that is changing faster than ever before - the only constant is change. The average lifespan of a Fortune 100 company in 1958 was 61 years, now it is 18 years. We adapt to a changing world, constantly iterating, moving forward and staying relevant. Impossible is an opinion - we are on a mission to build something which has never been done before from the ground up. It will be a hard journey full of challenges which are currently unsolved. Our culture is defined by the fact that when we are confronted with challenges, we work from the assumption that it is possible to overcome them. We are transparent - we challenge each other. Regardless of title, seniority or reporting lines. We give feedback and we are hungry to receive it. We value honest feedback delivered with kindness, and we value people who ask questions. We always trust, respect and care for each other - it's no easy feat working in a startup, let alone one with goals as ambitious as ours. At Sequel, we believe no one is ever too busy to support fellow team members and that we should always be helpful, inclusive and selfless in the way we work. Diversity of background and thought is celebrated as we respect and appreciate what makes us all different. We don't tolerate free riders, egos or workplace politics. Who You Are You are interested in data science and research but also in applying your insights You previously worked at a VC firm or hedge fund in a data-facing role Proficient in TypeScript or Python An avid learner constantly exploring new technologies and tinkering with LLMs & vector databases You have a big interest in building systems that handle millions of data records You don't shy away from making data come to life working on the back- or if necessary also the frontend (i.e. retool) A brilliant communicator - you are not afraid to tell if something is going in the wrong direction and you want to correct early on You have an existing passion for or an interest in the worlds of startup investing and professional sport Bonus: You know your way around Firebase and GCP Benefits Meaningful options package Private healthcare We offer perks through Juno, a holistic perks platform Generous parental leave policy We believe our best work is done together in the office, but we offer flexibility for team members to work up to 1 day per week from home Choose your own equipment 25 days off + bank holidays £500 per year learning and development budget Gym Membership Contributions Cycle to work scheme
About Motorway Motorway is the UK's fastest-growing used car marketplace - our award winning, online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our technology-led approach has redefined the experience of selling a car, generating thousands of monthly car sales and helping us to grow to a team of over 400 across 4 locations. We are now valued at over £1 billion and is backed by some of the world's leading technology investors, having raised £143 million in Series C funding. This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better. About the team The Marketplace team is at the heart of Motorway's growth, focused on making our online car auction platform the best it can be. We're not just about the tech; we're about creating a smooth and enjoyable experience for both car sellers and dealers. Our team is unique because we have a direct impact on Motorway's success. We use data to shape our auction strategies, improve user experience, and drive growth. If you're passionate about data science and want to see your work make a real difference, this is the team for you. About the role As our Senior Data Scientist, you'll be a key player in: Developing cutting-edge predictive models: You'll build models to optimise auction dynamics, predict outcomes, and help consumers bid smarter. Uncovering insights from data: You'll dive deep into our data to identify trends and patterns, turning your findings into actionable strategies. Collaborating to bring new products to life: You'll work closely with analysts, engineers, and product teams to design, test, and launch new features. Ensuring fair play: You'll contribute to solutions that encourage positive behaviour and maintain fairness in our auctions. Exploring new possibilities: You'll research and evaluate different auction formats and strategies to maximise efficiency and revenue. Sharing your knowledge: You'll clearly communicate complex technical concepts to both technical and non-technical audiences. About you We welcome applications from all backgrounds, but here's what you'll likely bring to the table: A Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, Physical Sciences, Economics, or a similar field. Proven expertise in data science and machine learning, with a track record of building and deploying models in a real-world setting. Strong Python skills and experience with libraries like pandas, scikit-learn, stan, pyro, matplotlib, and plotly. The ability to choose the right machine learning model for the job (linear/logistic regression, RFs, xgboost, NNs, etc.). Experience with calibrated probabilistic models is a plus! Experience with MLOps and software engineering best practices, including git, CI/CD, testing, and releasing. A knack for working with large datasets and cloud platforms like AWS or GCP. Proficiency in SQL and experience with data pipelining and warehousing technologies. BigQuery and dbt experience is a bonus. Ideally, you'll also have experience with econometrics, Bayesian ML, causal inference, and/or auction theory. You're a natural problem-solver with sharp analytical and critical thinking skills. You communicate effectively and collaborate well, explaining technical information clearly to different audiences. You could be a great fit if You're excited by the challenge of using data to optimise a marketplace. You have experience in the automotive or e-commerce industry. You have familiarity with A/B testing and experimentation frameworks. You're a creative thinker who can come up with innovative solutions. You're passionate about staying at the forefront of data science and machine learning. You have a strong interest in auction dynamics and behavioural economics. Our interview process Our interview process includes: Initial Screen with Talent Team - 30 minutes Hiring Manager Interview - 45 minutes Skills Assessment - 60 minutes Exec Interview - 60 minutes We'll aim to get back to you within 2-3 business days of each stage. A talent partner will be there to answer any questions or assist with accommodations throughout the process.
05/02/2025
Full time
About Motorway Motorway is the UK's fastest-growing used car marketplace - our award winning, online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal. Founded in 2017, our technology-led approach has redefined the experience of selling a car, generating thousands of monthly car sales and helping us to grow to a team of over 400 across 4 locations. We are now valued at over £1 billion and is backed by some of the world's leading technology investors, having raised £143 million in Series C funding. This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth and help change an industry for the better. About the team The Marketplace team is at the heart of Motorway's growth, focused on making our online car auction platform the best it can be. We're not just about the tech; we're about creating a smooth and enjoyable experience for both car sellers and dealers. Our team is unique because we have a direct impact on Motorway's success. We use data to shape our auction strategies, improve user experience, and drive growth. If you're passionate about data science and want to see your work make a real difference, this is the team for you. About the role As our Senior Data Scientist, you'll be a key player in: Developing cutting-edge predictive models: You'll build models to optimise auction dynamics, predict outcomes, and help consumers bid smarter. Uncovering insights from data: You'll dive deep into our data to identify trends and patterns, turning your findings into actionable strategies. Collaborating to bring new products to life: You'll work closely with analysts, engineers, and product teams to design, test, and launch new features. Ensuring fair play: You'll contribute to solutions that encourage positive behaviour and maintain fairness in our auctions. Exploring new possibilities: You'll research and evaluate different auction formats and strategies to maximise efficiency and revenue. Sharing your knowledge: You'll clearly communicate complex technical concepts to both technical and non-technical audiences. About you We welcome applications from all backgrounds, but here's what you'll likely bring to the table: A Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, Physical Sciences, Economics, or a similar field. Proven expertise in data science and machine learning, with a track record of building and deploying models in a real-world setting. Strong Python skills and experience with libraries like pandas, scikit-learn, stan, pyro, matplotlib, and plotly. The ability to choose the right machine learning model for the job (linear/logistic regression, RFs, xgboost, NNs, etc.). Experience with calibrated probabilistic models is a plus! Experience with MLOps and software engineering best practices, including git, CI/CD, testing, and releasing. A knack for working with large datasets and cloud platforms like AWS or GCP. Proficiency in SQL and experience with data pipelining and warehousing technologies. BigQuery and dbt experience is a bonus. Ideally, you'll also have experience with econometrics, Bayesian ML, causal inference, and/or auction theory. You're a natural problem-solver with sharp analytical and critical thinking skills. You communicate effectively and collaborate well, explaining technical information clearly to different audiences. You could be a great fit if You're excited by the challenge of using data to optimise a marketplace. You have experience in the automotive or e-commerce industry. You have familiarity with A/B testing and experimentation frameworks. You're a creative thinker who can come up with innovative solutions. You're passionate about staying at the forefront of data science and machine learning. You have a strong interest in auction dynamics and behavioural economics. Our interview process Our interview process includes: Initial Screen with Talent Team - 30 minutes Hiring Manager Interview - 45 minutes Skills Assessment - 60 minutes Exec Interview - 60 minutes We'll aim to get back to you within 2-3 business days of each stage. A talent partner will be there to answer any questions or assist with accommodations throughout the process.
P&U Job Description About Us At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field, we're a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day. Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That's why our Pricers and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price. Join us as a Senior Data Scientist in our Motor Retail Pricing team. What you'll be doing In this role, you'll use statistical and machine learning techniques to analyse and model insurance data. Working closely with actuaries, underwriters, and data scientists to develop pricing models that accurately reflect risk and customer behaviours. Additionally, you'll seek out new opportunities to apply data science techniques to insurance and support those around you to grow and develop, sharing your expertise and best practise with the wider business. Working in an agile way means you'll take charge early on, soak up new experiences and most importantly you'll positively influence and shape what we do - making an impact on our customers lives. We'll utilise your skills where they are most needed whilst also giving you to opportunity to build and grow the breadth of your expertise. Due to the requirements for this role, previous experience within insurance/pricing is essential. What you'll need Previous data science / pricing experience within insurance Master's/PhD/professional certificates or experience in a quantitative field, Strong experience with statistical and machine learning techniques Experience with insurance pricing or actuarial modelling Python expertise (candidates with experience in other programming languages will also be considered) Experience with Domino (or other cloud platforms) is an advantage Ways of working Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Read our flexible working approach here What we'll give you We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Our core benefits include: 9% employer contributed pension 50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover Additional optional Health and Dental insurance Up to 10% bonus EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way. 25 days annual leave, increasing each year up to a maximum of 28 Buy as you earn share scheme Employee discounts and cashback Plus many more! Being Yourself Difference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work - that's why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we've made it our mission to give you everything you need to be authentically you. Discover more at Together we're one of a kind.
05/02/2025
Full time
P&U Job Description About Us At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field, we're a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day. Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That's why our Pricers and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price. Join us as a Senior Data Scientist in our Motor Retail Pricing team. What you'll be doing In this role, you'll use statistical and machine learning techniques to analyse and model insurance data. Working closely with actuaries, underwriters, and data scientists to develop pricing models that accurately reflect risk and customer behaviours. Additionally, you'll seek out new opportunities to apply data science techniques to insurance and support those around you to grow and develop, sharing your expertise and best practise with the wider business. Working in an agile way means you'll take charge early on, soak up new experiences and most importantly you'll positively influence and shape what we do - making an impact on our customers lives. We'll utilise your skills where they are most needed whilst also giving you to opportunity to build and grow the breadth of your expertise. Due to the requirements for this role, previous experience within insurance/pricing is essential. What you'll need Previous data science / pricing experience within insurance Master's/PhD/professional certificates or experience in a quantitative field, Strong experience with statistical and machine learning techniques Experience with insurance pricing or actuarial modelling Python expertise (candidates with experience in other programming languages will also be considered) Experience with Domino (or other cloud platforms) is an advantage Ways of working Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Read our flexible working approach here What we'll give you We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Our core benefits include: 9% employer contributed pension 50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover Additional optional Health and Dental insurance Up to 10% bonus EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way. 25 days annual leave, increasing each year up to a maximum of 28 Buy as you earn share scheme Employee discounts and cashback Plus many more! Being Yourself Difference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work - that's why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we've made it our mission to give you everything you need to be authentically you. Discover more at Together we're one of a kind.
Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of architects, data scientists, and engineers working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost-efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities The primary responsibilities of this role are to: Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries. Interact with customers directly to understand their business problems and lead them by prescriptively defining and implementing scalable Generative AI solutions to solve them. Work closely with account teams, research scientist teams, and product engineering teams to design architectures and applications, drive model implementations, and guide new solution deployment. BASIC QUALIFICATIONS Bachelor's degree in computer science, engineering, mathematics or equivalent. Experience in software development with an object-oriented language. Experience in cloud-based solutions (AWS or equivalent), system, network, and operating systems. Experience in databases (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inferences). PREFERRED QUALIFICATIONS Masters or PhD degree in computer science, or related technical, math, or scientific field. Strong working knowledge of deep learning, machine learning, and statistics. Experiences related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training and strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
05/02/2025
Full time
Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of architects, data scientists, and engineers working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost-efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities The primary responsibilities of this role are to: Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries. Interact with customers directly to understand their business problems and lead them by prescriptively defining and implementing scalable Generative AI solutions to solve them. Work closely with account teams, research scientist teams, and product engineering teams to design architectures and applications, drive model implementations, and guide new solution deployment. BASIC QUALIFICATIONS Bachelor's degree in computer science, engineering, mathematics or equivalent. Experience in software development with an object-oriented language. Experience in cloud-based solutions (AWS or equivalent), system, network, and operating systems. Experience in databases (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inferences). PREFERRED QUALIFICATIONS Masters or PhD degree in computer science, or related technical, math, or scientific field. Strong working knowledge of deep learning, machine learning, and statistics. Experiences related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training and strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
P&U Job Description About Us At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field, we're a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day. Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That's why our Pricers and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price. Join us as a Senior Data Scientist in our Motor Retail Pricing team. What you'll be doing In this role, you'll use statistical and machine learning techniques to analyse and model insurance data. Working closely with actuaries, underwriters, and data scientists to develop pricing models that accurately reflect risk and customer behaviours. Additionally, you'll seek out new opportunities to apply data science techniques to insurance and support those around you to grow and develop, sharing your expertise and best practise with the wider business. Working in an agile way means you'll take charge early on, soak up new experiences and most importantly you'll positively influence and shape what we do - making an impact on our customers lives. We'll utilise your skills where they are most needed whilst also giving you to opportunity to build and grow the breadth of your expertise. Due to the requirements for this role, previous experience within insurance/pricing is essential. What you'll need Previous data science / pricing experience within insurance Master's/PhD/professional certificates or experience in a quantitative field, Strong experience with statistical and machine learning techniques Experience with insurance pricing or actuarial modelling Python expertise (candidates with experience in other programming languages will also be considered) Experience with Domino (or other cloud platforms) is an advantage Ways of working Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Read our flexible working approach here What we'll give you We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Our core benefits include: 9% employer contributed pension 50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover Additional optional Health and Dental insurance Up to 10% bonus EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way. 25 days annual leave, increasing each year up to a maximum of 28 Buy as you earn share scheme Employee discounts and cashback Plus many more! Being Yourself Difference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work - that's why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we've made it our mission to give you everything you need to be authentically you. Discover more at Together we're one of a kind.
05/02/2025
Full time
P&U Job Description About Us At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field, we're a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day. Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That's why our Pricers and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price. Join us as a Senior Data Scientist in our Motor Retail Pricing team. What you'll be doing In this role, you'll use statistical and machine learning techniques to analyse and model insurance data. Working closely with actuaries, underwriters, and data scientists to develop pricing models that accurately reflect risk and customer behaviours. Additionally, you'll seek out new opportunities to apply data science techniques to insurance and support those around you to grow and develop, sharing your expertise and best practise with the wider business. Working in an agile way means you'll take charge early on, soak up new experiences and most importantly you'll positively influence and shape what we do - making an impact on our customers lives. We'll utilise your skills where they are most needed whilst also giving you to opportunity to build and grow the breadth of your expertise. Due to the requirements for this role, previous experience within insurance/pricing is essential. What you'll need Previous data science / pricing experience within insurance Master's/PhD/professional certificates or experience in a quantitative field, Strong experience with statistical and machine learning techniques Experience with insurance pricing or actuarial modelling Python expertise (candidates with experience in other programming languages will also be considered) Experience with Domino (or other cloud platforms) is an advantage Ways of working Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Read our flexible working approach here What we'll give you We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Our core benefits include: 9% employer contributed pension 50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover Additional optional Health and Dental insurance Up to 10% bonus EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way. 25 days annual leave, increasing each year up to a maximum of 28 Buy as you earn share scheme Employee discounts and cashback Plus many more! Being Yourself Difference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work - that's why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we've made it our mission to give you everything you need to be authentically you. Discover more at Together we're one of a kind.
As a Principal Machine Learning Engineer for Qodea, Europe's largest dedicated Google Cloud partner, you will lead the design and delivery of Machine Learning solutions for clients in addition to performing line management duties for a team of ML Engineers and Data Scientists. You'll report into the Head of Data & AI. You'll develop and deploy innovative machine learning models and AI solutions on Google Cloud using frameworks such as TensorFlow, scikit-learn, and torch. You'll use your hands-on experience of developing, training, and deploying AI models to help customers activate their data. You'll draw upon your technical expertise and track record of delivery to have positive and meaningful engagements with customers, to help them understand what's achievable with Google Cloud products and services. You'll be able to communicate concepts to both technical and non-technical audiences. Your solution designs will always consider the customers' requirements, and will be scalable and supportable. You'll always be open to exploring new technologies in this fast-moving field and will foster an innovative and creative mindset among the wider ML Team. Your Line Management duties will consist of regularly engaging with your team members, enabling their professional development and being a consistent source of encouragement and support during their time with the organisation. You'll also foster a positive and collaborative environment within the Machine Learning team through remote and in-person meetups, social events, and knowledge-sharing activities. Responsibilities: Lead discussions with clients to understand their business problems, work with your team to design technical solutions using machine learning models. Develop and deploy machine learning models on Google Cloud. Use version control and agile working practices. Stay up-to-date with the latest developments in machine learning and bring new ideas to the team. Minimum Requirements: Experience as a technical lead on technical projects, ideally involving a public cloud provider. Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Strong grasp of statistics and probability fundamentals. Solid understanding of machine learning algorithms for supervised and unsupervised learning. Hands-on experience training, deploying, and optimizing ML models. Strong Python and SQL skills. Experience with Cloud ML tools. Collaborative, proactive, logical, methodical, and attentive to detail. Passion for machine learning and demonstrating your ability to keep updated on the latest advancements in the industry. About Qodea Qodea (formally Appsbroker CTS) is the largest Google Cloud-only digital consultancy in Europe. Our name marks the culmination of a journey which began with the merger of Appsbroker and CTS in 2023. Combining the words 'code' and 'idea', our name embodies the essence of who we are and what we do; providing tried and trusted digital solutions, whilst helping our clients look to the future and innovate. As a purpose-driven, certified B Corp, we strive to be great to work with and great to work for. We're lucky to have some fantastic household names as customers, and fantastic colleagues delivering the ideas, technologies, and impacts that matter. With offices across Europe, you'll be joining a dynamic team of talented but down-to-earth experts, with a presence across the UK, the Netherlands, Romania, and Belgium. By joining forces, both companies bring over 15 years of Google Cloud experience under one roof, with over 420+ Google certifications, a list of brilliant enterprise customers, incredibly talented people, and multiple industry awards - meaning we can be trusted to deliver. Benefits: 36 days off each year including Bank Holidays (and your birthday off). Private healthcare scheme. Company pension. Flexible working culture. Work from Anywhere policy (up to 90 days per year). 10 paid Learning Days each year in addition to annual leave. Company events - opportunities to meet colleagues you don't see every day. Regular opportunities for industry recognised training and certifications. Learning and development opportunities. Opportunities to develop within a fast-growing tech business with ambitious growth and impact goals. Location: This role can be either fully remote or hybrid based depending on your preference. We have offices in London, Swindon, Manchester, and Edinburgh which you can choose to work from as often as you like. There is no mandatory office working, but you might be expected to travel to offices or customer sites for specific meetings or events. Diversity and Inclusion Statement At Qodea, we look after each other in an environment where everyone can work together to achieve great things. We're proud of our people-first culture that welcomes individuals from all backgrounds. Our commitment to diversity and inclusion creates a dynamic community, unlocks innovation and great ideas, and unites us around a common purpose - and we look for talented people to join us who share these values.
05/02/2025
Full time
As a Principal Machine Learning Engineer for Qodea, Europe's largest dedicated Google Cloud partner, you will lead the design and delivery of Machine Learning solutions for clients in addition to performing line management duties for a team of ML Engineers and Data Scientists. You'll report into the Head of Data & AI. You'll develop and deploy innovative machine learning models and AI solutions on Google Cloud using frameworks such as TensorFlow, scikit-learn, and torch. You'll use your hands-on experience of developing, training, and deploying AI models to help customers activate their data. You'll draw upon your technical expertise and track record of delivery to have positive and meaningful engagements with customers, to help them understand what's achievable with Google Cloud products and services. You'll be able to communicate concepts to both technical and non-technical audiences. Your solution designs will always consider the customers' requirements, and will be scalable and supportable. You'll always be open to exploring new technologies in this fast-moving field and will foster an innovative and creative mindset among the wider ML Team. Your Line Management duties will consist of regularly engaging with your team members, enabling their professional development and being a consistent source of encouragement and support during their time with the organisation. You'll also foster a positive and collaborative environment within the Machine Learning team through remote and in-person meetups, social events, and knowledge-sharing activities. Responsibilities: Lead discussions with clients to understand their business problems, work with your team to design technical solutions using machine learning models. Develop and deploy machine learning models on Google Cloud. Use version control and agile working practices. Stay up-to-date with the latest developments in machine learning and bring new ideas to the team. Minimum Requirements: Experience as a technical lead on technical projects, ideally involving a public cloud provider. Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Strong grasp of statistics and probability fundamentals. Solid understanding of machine learning algorithms for supervised and unsupervised learning. Hands-on experience training, deploying, and optimizing ML models. Strong Python and SQL skills. Experience with Cloud ML tools. Collaborative, proactive, logical, methodical, and attentive to detail. Passion for machine learning and demonstrating your ability to keep updated on the latest advancements in the industry. About Qodea Qodea (formally Appsbroker CTS) is the largest Google Cloud-only digital consultancy in Europe. Our name marks the culmination of a journey which began with the merger of Appsbroker and CTS in 2023. Combining the words 'code' and 'idea', our name embodies the essence of who we are and what we do; providing tried and trusted digital solutions, whilst helping our clients look to the future and innovate. As a purpose-driven, certified B Corp, we strive to be great to work with and great to work for. We're lucky to have some fantastic household names as customers, and fantastic colleagues delivering the ideas, technologies, and impacts that matter. With offices across Europe, you'll be joining a dynamic team of talented but down-to-earth experts, with a presence across the UK, the Netherlands, Romania, and Belgium. By joining forces, both companies bring over 15 years of Google Cloud experience under one roof, with over 420+ Google certifications, a list of brilliant enterprise customers, incredibly talented people, and multiple industry awards - meaning we can be trusted to deliver. Benefits: 36 days off each year including Bank Holidays (and your birthday off). Private healthcare scheme. Company pension. Flexible working culture. Work from Anywhere policy (up to 90 days per year). 10 paid Learning Days each year in addition to annual leave. Company events - opportunities to meet colleagues you don't see every day. Regular opportunities for industry recognised training and certifications. Learning and development opportunities. Opportunities to develop within a fast-growing tech business with ambitious growth and impact goals. Location: This role can be either fully remote or hybrid based depending on your preference. We have offices in London, Swindon, Manchester, and Edinburgh which you can choose to work from as often as you like. There is no mandatory office working, but you might be expected to travel to offices or customer sites for specific meetings or events. Diversity and Inclusion Statement At Qodea, we look after each other in an environment where everyone can work together to achieve great things. We're proud of our people-first culture that welcomes individuals from all backgrounds. Our commitment to diversity and inclusion creates a dynamic community, unlocks innovation and great ideas, and unites us around a common purpose - and we look for talented people to join us who share these values.
Data Science function hiring in: United Kingdom Work Preference Option(s): Hybrid Work From Home This is a perfect opportunity for ambitious individuals to join a team of curious minds and supportive peers with a passion for creating value for businesses using data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role Senior Data Scientists are the driving force in delivering innovative and high-quality data science projects for our customers. Aligning Software with Data provides a powerful platform through which we engage some of the world's leading brands in long-term strategic digital transformation. The Digital Services team is a multi-disciplined group working alongside the Engineering Group (software, platform, and data engineering). Data Science, as a mature practice, is dedicated to the business application of a wide range of data science techniques and industry best practices. As a Senior Data Scientist, you will work as part of a team that designs and implements data science solutions for businesses, using suitable methodology and programming languages, confidently assuming responsibility for technical specifications. You will have the opportunity to: Work as part of a multi-skilled delivery team on client engagements Quickly learn and apply skills to real business challenges Shape and design solutions for customers that impact business KPIs Contribute to a collective knowledge pool and gain appreciation Work on a variety of businesses and problems, with data of all shapes and sizes Be supported by the Data practice and a collective knowledge pool Guide and mentor junior members of the team on and off projects Keep up to date on the latest technologies, techniques, and best practices Work with the latest Azure offerings and get certified Attend and present at high-profile conferences Contribute to open-source projects Responsibilities Primary Duties Using strong business acumen and a solid understanding of data science use cases, author and refine project technical specifications Relentlessly focus on creating business impact and delivering value Apply statistical rigor and computational efficiency in project delivery Design and implement end-to-end data pipelines fit for purpose Communicate frequently and appropriately during the delivery process Present work to technical and non-technical audiences Support Sales by participating in the pre-sales process and contributing to proposals Other Manage junior members in a line manager capacity Promote Ascent publicly via blogging and conferencing Deliver internal training and knowledge-sharing Keep up to date with relevant technologies and current trends Travel for work as required Requirements A successful candidate will demonstrate these traits: Curious and inquisitive Thoughtful Consultative and business-minded Detail-oriented Analytical approach to problem-solving Sense of responsibility Critical and constructive thinking Logical and methodical reasoning Communicate with clarity and purpose And these skills: Required Fluent in R for data science Fluent in SQL (any flavor) for analysis Experienced in applying a broad range of data science techniques to solutions in business process and systems, including data visualization, package development, machine learning algorithms, NLP, Shiny/Dash, optimization, deep learning, reinforcement learning Daily use of git Highly Desirable Competence in Python for data science Deploying data science solutions on a cloud platform, including MLOps (CI/CD, Feature Store, drift monitoring, MLflow, DVC, Docker, Kubernetes) and webapp (Azure App Services, Azure Web Apps); Azure ML and MSFT Certificate Experience in pharmaceutical data science Experience with Generative AI (GenAI) and Large Language Models (LLM) Algorithm design experience Data architecture knowledge API design and deployment experience NoSQL DB experience Beneficial and Others DBA experience Qualifications 5+ years of data science experience Right to work in the UK and/or EU Azure Data Science Associate Certificate is desirable Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on .
05/02/2025
Full time
Data Science function hiring in: United Kingdom Work Preference Option(s): Hybrid Work From Home This is a perfect opportunity for ambitious individuals to join a team of curious minds and supportive peers with a passion for creating value for businesses using data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role Senior Data Scientists are the driving force in delivering innovative and high-quality data science projects for our customers. Aligning Software with Data provides a powerful platform through which we engage some of the world's leading brands in long-term strategic digital transformation. The Digital Services team is a multi-disciplined group working alongside the Engineering Group (software, platform, and data engineering). Data Science, as a mature practice, is dedicated to the business application of a wide range of data science techniques and industry best practices. As a Senior Data Scientist, you will work as part of a team that designs and implements data science solutions for businesses, using suitable methodology and programming languages, confidently assuming responsibility for technical specifications. You will have the opportunity to: Work as part of a multi-skilled delivery team on client engagements Quickly learn and apply skills to real business challenges Shape and design solutions for customers that impact business KPIs Contribute to a collective knowledge pool and gain appreciation Work on a variety of businesses and problems, with data of all shapes and sizes Be supported by the Data practice and a collective knowledge pool Guide and mentor junior members of the team on and off projects Keep up to date on the latest technologies, techniques, and best practices Work with the latest Azure offerings and get certified Attend and present at high-profile conferences Contribute to open-source projects Responsibilities Primary Duties Using strong business acumen and a solid understanding of data science use cases, author and refine project technical specifications Relentlessly focus on creating business impact and delivering value Apply statistical rigor and computational efficiency in project delivery Design and implement end-to-end data pipelines fit for purpose Communicate frequently and appropriately during the delivery process Present work to technical and non-technical audiences Support Sales by participating in the pre-sales process and contributing to proposals Other Manage junior members in a line manager capacity Promote Ascent publicly via blogging and conferencing Deliver internal training and knowledge-sharing Keep up to date with relevant technologies and current trends Travel for work as required Requirements A successful candidate will demonstrate these traits: Curious and inquisitive Thoughtful Consultative and business-minded Detail-oriented Analytical approach to problem-solving Sense of responsibility Critical and constructive thinking Logical and methodical reasoning Communicate with clarity and purpose And these skills: Required Fluent in R for data science Fluent in SQL (any flavor) for analysis Experienced in applying a broad range of data science techniques to solutions in business process and systems, including data visualization, package development, machine learning algorithms, NLP, Shiny/Dash, optimization, deep learning, reinforcement learning Daily use of git Highly Desirable Competence in Python for data science Deploying data science solutions on a cloud platform, including MLOps (CI/CD, Feature Store, drift monitoring, MLflow, DVC, Docker, Kubernetes) and webapp (Azure App Services, Azure Web Apps); Azure ML and MSFT Certificate Experience in pharmaceutical data science Experience with Generative AI (GenAI) and Large Language Models (LLM) Algorithm design experience Data architecture knowledge API design and deployment experience NoSQL DB experience Beneficial and Others DBA experience Qualifications 5+ years of data science experience Right to work in the UK and/or EU Azure Data Science Associate Certificate is desirable Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on .
Direct Line Insurance Group plc
Manchester, Lancashire
P&U Job Description About Us At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field, we're a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day. Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That's why our Pricers and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price. Join us as a Senior Data Scientist in our Motor Retail Pricing team. What you'll be doing In this role, you'll use statistical and machine learning techniques to analyse and model insurance data. Working closely with actuaries, underwriters, and data scientists to develop pricing models that accurately reflect risk and customer behaviours. Additionally, you'll seek out new opportunities to apply data science techniques to insurance and support those around you to grow and develop, sharing your expertise and best practise with the wider business. Working in an agile way means you'll take charge early on, soak up new experiences and most importantly you'll positively influence and shape what we do - making an impact on our customers lives. We'll utilise your skills where they are most needed whilst also giving you to opportunity to build and grow the breadth of your expertise. Due to the requirements for this role, previous experience within insurance/pricing is essential. What you'll need Previous data science / pricing experience within insurance Master's/PhD/professional certificates or experience in a quantitative field, Strong experience with statistical and machine learning techniques Experience with insurance pricing or actuarial modelling Python expertise (candidates with experience in other programming languages will also be considered) Experience with Domino (or other cloud platforms) is an advantage Ways of working Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Read our flexible working approach here What we'll give you We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Our core benefits include: 9% employer contributed pension 50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover Additional optional Health and Dental insurance Up to 10% bonus EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way. 25 days annual leave, increasing each year up to a maximum of 28 Buy as you earn share scheme Employee discounts and cashback Plus many more! Being Yourself Difference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work - that's why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we've made it our mission to give you everything you need to be authentically you. Discover more at Together we're one of a kind.
05/02/2025
Full time
P&U Job Description About Us At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field, we're a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day. Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That's why our Pricers and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price. Join us as a Senior Data Scientist in our Motor Retail Pricing team. What you'll be doing In this role, you'll use statistical and machine learning techniques to analyse and model insurance data. Working closely with actuaries, underwriters, and data scientists to develop pricing models that accurately reflect risk and customer behaviours. Additionally, you'll seek out new opportunities to apply data science techniques to insurance and support those around you to grow and develop, sharing your expertise and best practise with the wider business. Working in an agile way means you'll take charge early on, soak up new experiences and most importantly you'll positively influence and shape what we do - making an impact on our customers lives. We'll utilise your skills where they are most needed whilst also giving you to opportunity to build and grow the breadth of your expertise. Due to the requirements for this role, previous experience within insurance/pricing is essential. What you'll need Previous data science / pricing experience within insurance Master's/PhD/professional certificates or experience in a quantitative field, Strong experience with statistical and machine learning techniques Experience with insurance pricing or actuarial modelling Python expertise (candidates with experience in other programming languages will also be considered) Experience with Domino (or other cloud platforms) is an advantage Ways of working Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Read our flexible working approach here What we'll give you We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Our core benefits include: 9% employer contributed pension 50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover Additional optional Health and Dental insurance Up to 10% bonus EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way. 25 days annual leave, increasing each year up to a maximum of 28 Buy as you earn share scheme Employee discounts and cashback Plus many more! Being Yourself Difference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work - that's why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we've made it our mission to give you everything you need to be authentically you. Discover more at Together we're one of a kind.
As a Principal Machine Learning Engineer for Qodea, Europe's largest dedicated Google Cloud partner, you will lead the design and delivery of Machine Learning solutions for clients in addition to performing line management duties for a team of ML Engineers and Data Scientists. You'll report into the Head of Data & AI. You'll develop and deploy innovative machine learning models and AI solutions on Google Cloud using frameworks such as TensorFlow, scikit-learn, and torch. You'll use your hands-on experience of developing, training, and deploying AI models to help customers activate their data. You'll draw upon your technical expertise and track record of delivery to have positive and meaningful engagements with customers, to help them understand what's achievable with Google Cloud products and services. You'll be able to communicate concepts to both technical and non-technical audiences. Your solution designs will always consider the customers' requirements, and will be scalable and supportable. You'll always be open to exploring new technologies in this fast-moving field and will foster an innovative and creative mindset among the wider ML Team. Your Line Management duties will consist of regularly engaging with your team members, enabling their professional development and being a consistent source of encouragement and support during their time with the organisation. You'll also foster a positive and collaborative environment within the Machine Learning team through remote and in-person meetups, social events, and knowledge-sharing activities. Responsibilities: Lead discussions with clients to understand their business problems, work with your team to design technical solutions using machine learning models. Develop and deploy machine learning models on Google Cloud. Use version control and agile working practices. Stay up-to-date with the latest developments in machine learning and bring new ideas to the team. Minimum Requirements: Experience as a technical lead on technical projects, ideally involving a public cloud provider. Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Strong grasp of statistics and probability fundamentals. Solid understanding of machine learning algorithms for supervised and unsupervised learning. Hands-on experience training, deploying, and optimizing ML models. Strong Python and SQL skills. Experience with Cloud ML tools. Collaborative, proactive, logical, methodical, and attentive to detail. Passion for machine learning and demonstrating your ability to keep updated on the latest advancements in the industry. About Qodea Qodea (formally Appsbroker CTS) is the largest Google Cloud-only digital consultancy in Europe. Our name marks the culmination of a journey which began with the merger of Appsbroker and CTS in 2023. Combining the words 'code' and 'idea', our name embodies the essence of who we are and what we do; providing tried and trusted digital solutions, whilst helping our clients look to the future and innovate. As a purpose-driven, certified B Corp, we strive to be great to work with and great to work for. We're lucky to have some fantastic household names as customers, and fantastic colleagues delivering the ideas, technologies, and impacts that matter. With offices across Europe, you'll be joining a dynamic team of talented but down-to-earth experts, with a presence across the UK, the Netherlands, Romania, and Belgium. By joining forces, both companies bring over 15 years of Google Cloud experience under one roof, with over 420+ Google certifications, a list of brilliant enterprise customers, incredibly talented people, and multiple industry awards - meaning we can be trusted to deliver. Benefits: 36 days off each year including Bank Holidays (and your birthday off). Private healthcare scheme. Company pension. Flexible working culture. Work from Anywhere policy (up to 90 days per year). 10 paid Learning Days each year in addition to annual leave. Company events - opportunities to meet colleagues you don't see every day. Regular opportunities for industry recognised training and certifications. Learning and development opportunities. Opportunities to develop within a fast-growing tech business with ambitious growth and impact goals. Location: This role can be either fully remote or hybrid based depending on your preference. We have offices in London, Swindon, Manchester, and Edinburgh which you can choose to work from as often as you like. There is no mandatory office working, but you might be expected to travel to offices or customer sites for specific meetings or events. Diversity and Inclusion Statement At Qodea, we look after each other in an environment where everyone can work together to achieve great things. We're proud of our people-first culture that welcomes individuals from all backgrounds. Our commitment to diversity and inclusion creates a dynamic community, unlocks innovation and great ideas, and unites us around a common purpose - and we look for talented people to join us who share these values.
05/02/2025
Full time
As a Principal Machine Learning Engineer for Qodea, Europe's largest dedicated Google Cloud partner, you will lead the design and delivery of Machine Learning solutions for clients in addition to performing line management duties for a team of ML Engineers and Data Scientists. You'll report into the Head of Data & AI. You'll develop and deploy innovative machine learning models and AI solutions on Google Cloud using frameworks such as TensorFlow, scikit-learn, and torch. You'll use your hands-on experience of developing, training, and deploying AI models to help customers activate their data. You'll draw upon your technical expertise and track record of delivery to have positive and meaningful engagements with customers, to help them understand what's achievable with Google Cloud products and services. You'll be able to communicate concepts to both technical and non-technical audiences. Your solution designs will always consider the customers' requirements, and will be scalable and supportable. You'll always be open to exploring new technologies in this fast-moving field and will foster an innovative and creative mindset among the wider ML Team. Your Line Management duties will consist of regularly engaging with your team members, enabling their professional development and being a consistent source of encouragement and support during their time with the organisation. You'll also foster a positive and collaborative environment within the Machine Learning team through remote and in-person meetups, social events, and knowledge-sharing activities. Responsibilities: Lead discussions with clients to understand their business problems, work with your team to design technical solutions using machine learning models. Develop and deploy machine learning models on Google Cloud. Use version control and agile working practices. Stay up-to-date with the latest developments in machine learning and bring new ideas to the team. Minimum Requirements: Experience as a technical lead on technical projects, ideally involving a public cloud provider. Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Strong grasp of statistics and probability fundamentals. Solid understanding of machine learning algorithms for supervised and unsupervised learning. Hands-on experience training, deploying, and optimizing ML models. Strong Python and SQL skills. Experience with Cloud ML tools. Collaborative, proactive, logical, methodical, and attentive to detail. Passion for machine learning and demonstrating your ability to keep updated on the latest advancements in the industry. About Qodea Qodea (formally Appsbroker CTS) is the largest Google Cloud-only digital consultancy in Europe. Our name marks the culmination of a journey which began with the merger of Appsbroker and CTS in 2023. Combining the words 'code' and 'idea', our name embodies the essence of who we are and what we do; providing tried and trusted digital solutions, whilst helping our clients look to the future and innovate. As a purpose-driven, certified B Corp, we strive to be great to work with and great to work for. We're lucky to have some fantastic household names as customers, and fantastic colleagues delivering the ideas, technologies, and impacts that matter. With offices across Europe, you'll be joining a dynamic team of talented but down-to-earth experts, with a presence across the UK, the Netherlands, Romania, and Belgium. By joining forces, both companies bring over 15 years of Google Cloud experience under one roof, with over 420+ Google certifications, a list of brilliant enterprise customers, incredibly talented people, and multiple industry awards - meaning we can be trusted to deliver. Benefits: 36 days off each year including Bank Holidays (and your birthday off). Private healthcare scheme. Company pension. Flexible working culture. Work from Anywhere policy (up to 90 days per year). 10 paid Learning Days each year in addition to annual leave. Company events - opportunities to meet colleagues you don't see every day. Regular opportunities for industry recognised training and certifications. Learning and development opportunities. Opportunities to develop within a fast-growing tech business with ambitious growth and impact goals. Location: This role can be either fully remote or hybrid based depending on your preference. We have offices in London, Swindon, Manchester, and Edinburgh which you can choose to work from as often as you like. There is no mandatory office working, but you might be expected to travel to offices or customer sites for specific meetings or events. Diversity and Inclusion Statement At Qodea, we look after each other in an environment where everyone can work together to achieve great things. We're proud of our people-first culture that welcomes individuals from all backgrounds. Our commitment to diversity and inclusion creates a dynamic community, unlocks innovation and great ideas, and unites us around a common purpose - and we look for talented people to join us who share these values.
As a Principal Machine Learning Engineer for Qodea, Europe's largest dedicated Google Cloud partner, you will lead the design and delivery of Machine Learning solutions for clients in addition to performing line management duties for a team of ML Engineers and Data Scientists. You'll report into the Head of Data & AI. You'll develop and deploy innovative machine learning models and AI solutions on Google Cloud using frameworks such as TensorFlow, scikit-learn, and torch. You'll use your hands-on experience of developing, training, and deploying AI models to help customers activate their data. You'll draw upon your technical expertise and track record of delivery to have positive and meaningful engagements with customers, to help them understand what's achievable with Google Cloud products and services. You'll be able to communicate concepts to both technical and non-technical audiences. Your solution designs will always consider the customers' requirements, and will be scalable and supportable. You'll always be open to exploring new technologies in this fast-moving field and will foster an innovative and creative mindset among the wider ML Team. Your Line Management duties will consist of regularly engaging with your team members, enabling their professional development and being a consistent source of encouragement and support during their time with the organisation. You'll also foster a positive and collaborative environment within the Machine Learning team through remote and in-person meetups, social events, and knowledge-sharing activities. Responsibilities: Lead discussions with clients to understand their business problems, work with your team to design technical solutions using machine learning models. Develop and deploy machine learning models on Google Cloud. Use version control and agile working practices. Stay up-to-date with the latest developments in machine learning and bring new ideas to the team. Minimum Requirements: Experience as a technical lead on technical projects, ideally involving a public cloud provider. Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Strong grasp of statistics and probability fundamentals. Solid understanding of machine learning algorithms for supervised and unsupervised learning. Hands-on experience training, deploying, and optimizing ML models. Strong Python and SQL skills. Experience with Cloud ML tools. Collaborative, proactive, logical, methodical, and attentive to detail. Passion for machine learning and demonstrating your ability to keep updated on the latest advancements in the industry. About Qodea Qodea (formally Appsbroker CTS) is the largest Google Cloud-only digital consultancy in Europe. Our name marks the culmination of a journey which began with the merger of Appsbroker and CTS in 2023. Combining the words 'code' and 'idea', our name embodies the essence of who we are and what we do; providing tried and trusted digital solutions, whilst helping our clients look to the future and innovate. As a purpose-driven, certified B Corp, we strive to be great to work with and great to work for. We're lucky to have some fantastic household names as customers, and fantastic colleagues delivering the ideas, technologies, and impacts that matter. With offices across Europe, you'll be joining a dynamic team of talented but down-to-earth experts, with a presence across the UK, the Netherlands, Romania, and Belgium. By joining forces, both companies bring over 15 years of Google Cloud experience under one roof, with over 420+ Google certifications, a list of brilliant enterprise customers, incredibly talented people, and multiple industry awards - meaning we can be trusted to deliver. Benefits: 36 days off each year including Bank Holidays (and your birthday off). Private healthcare scheme. Company pension. Flexible working culture. Work from Anywhere policy (up to 90 days per year). 10 paid Learning Days each year in addition to annual leave. Company events - opportunities to meet colleagues you don't see every day. Regular opportunities for industry recognised training and certifications. Learning and development opportunities. Opportunities to develop within a fast-growing tech business with ambitious growth and impact goals. Location: This role can be either fully remote or hybrid based depending on your preference. We have offices in London, Swindon, Manchester, and Edinburgh which you can choose to work from as often as you like. There is no mandatory office working, but you might be expected to travel to offices or customer sites for specific meetings or events. Diversity and Inclusion Statement At Qodea, we look after each other in an environment where everyone can work together to achieve great things. We're proud of our people-first culture that welcomes individuals from all backgrounds. Our commitment to diversity and inclusion creates a dynamic community, unlocks innovation and great ideas, and unites us around a common purpose - and we look for talented people to join us who share these values.
05/02/2025
Full time
As a Principal Machine Learning Engineer for Qodea, Europe's largest dedicated Google Cloud partner, you will lead the design and delivery of Machine Learning solutions for clients in addition to performing line management duties for a team of ML Engineers and Data Scientists. You'll report into the Head of Data & AI. You'll develop and deploy innovative machine learning models and AI solutions on Google Cloud using frameworks such as TensorFlow, scikit-learn, and torch. You'll use your hands-on experience of developing, training, and deploying AI models to help customers activate their data. You'll draw upon your technical expertise and track record of delivery to have positive and meaningful engagements with customers, to help them understand what's achievable with Google Cloud products and services. You'll be able to communicate concepts to both technical and non-technical audiences. Your solution designs will always consider the customers' requirements, and will be scalable and supportable. You'll always be open to exploring new technologies in this fast-moving field and will foster an innovative and creative mindset among the wider ML Team. Your Line Management duties will consist of regularly engaging with your team members, enabling their professional development and being a consistent source of encouragement and support during their time with the organisation. You'll also foster a positive and collaborative environment within the Machine Learning team through remote and in-person meetups, social events, and knowledge-sharing activities. Responsibilities: Lead discussions with clients to understand their business problems, work with your team to design technical solutions using machine learning models. Develop and deploy machine learning models on Google Cloud. Use version control and agile working practices. Stay up-to-date with the latest developments in machine learning and bring new ideas to the team. Minimum Requirements: Experience as a technical lead on technical projects, ideally involving a public cloud provider. Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Strong grasp of statistics and probability fundamentals. Solid understanding of machine learning algorithms for supervised and unsupervised learning. Hands-on experience training, deploying, and optimizing ML models. Strong Python and SQL skills. Experience with Cloud ML tools. Collaborative, proactive, logical, methodical, and attentive to detail. Passion for machine learning and demonstrating your ability to keep updated on the latest advancements in the industry. About Qodea Qodea (formally Appsbroker CTS) is the largest Google Cloud-only digital consultancy in Europe. Our name marks the culmination of a journey which began with the merger of Appsbroker and CTS in 2023. Combining the words 'code' and 'idea', our name embodies the essence of who we are and what we do; providing tried and trusted digital solutions, whilst helping our clients look to the future and innovate. As a purpose-driven, certified B Corp, we strive to be great to work with and great to work for. We're lucky to have some fantastic household names as customers, and fantastic colleagues delivering the ideas, technologies, and impacts that matter. With offices across Europe, you'll be joining a dynamic team of talented but down-to-earth experts, with a presence across the UK, the Netherlands, Romania, and Belgium. By joining forces, both companies bring over 15 years of Google Cloud experience under one roof, with over 420+ Google certifications, a list of brilliant enterprise customers, incredibly talented people, and multiple industry awards - meaning we can be trusted to deliver. Benefits: 36 days off each year including Bank Holidays (and your birthday off). Private healthcare scheme. Company pension. Flexible working culture. Work from Anywhere policy (up to 90 days per year). 10 paid Learning Days each year in addition to annual leave. Company events - opportunities to meet colleagues you don't see every day. Regular opportunities for industry recognised training and certifications. Learning and development opportunities. Opportunities to develop within a fast-growing tech business with ambitious growth and impact goals. Location: This role can be either fully remote or hybrid based depending on your preference. We have offices in London, Swindon, Manchester, and Edinburgh which you can choose to work from as often as you like. There is no mandatory office working, but you might be expected to travel to offices or customer sites for specific meetings or events. Diversity and Inclusion Statement At Qodea, we look after each other in an environment where everyone can work together to achieve great things. We're proud of our people-first culture that welcomes individuals from all backgrounds. Our commitment to diversity and inclusion creates a dynamic community, unlocks innovation and great ideas, and unites us around a common purpose - and we look for talented people to join us who share these values.
Direct Line Insurance Group plc
Bristol, Gloucestershire
P&U Job Description About Us At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field, we're a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day. Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That's why our Pricers and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price. Join us as a Senior Data Scientist in our Motor Retail Pricing team. What you'll be doing In this role, you'll use statistical and machine learning techniques to analyse and model insurance data. Working closely with actuaries, underwriters, and data scientists to develop pricing models that accurately reflect risk and customer behaviours. Additionally, you'll seek out new opportunities to apply data science techniques to insurance and support those around you to grow and develop, sharing your expertise and best practise with the wider business. Working in an agile way means you'll take charge early on, soak up new experiences and most importantly you'll positively influence and shape what we do - making an impact on our customers lives. We'll utilise your skills where they are most needed whilst also giving you to opportunity to build and grow the breadth of your expertise. Due to the requirements for this role, previous experience within insurance/pricing is essential. What you'll need Previous data science / pricing experience within insurance Master's/PhD/professional certificates or experience in a quantitative field, Strong experience with statistical and machine learning techniques Experience with insurance pricing or actuarial modelling Python expertise (candidates with experience in other programming languages will also be considered) Experience with Domino (or other cloud platforms) is an advantage Ways of working Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Read our flexible working approach here What we'll give you We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Our core benefits include: 9% employer contributed pension 50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover Additional optional Health and Dental insurance Up to 10% bonus EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way. 25 days annual leave, increasing each year up to a maximum of 28 Buy as you earn share scheme Employee discounts and cashback Plus many more! Being Yourself Difference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work - that's why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we've made it our mission to give you everything you need to be authentically you. Discover more at Together we're one of a kind.
05/02/2025
Full time
P&U Job Description About Us At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field, we're a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day. Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That's why our Pricers and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price. Join us as a Senior Data Scientist in our Motor Retail Pricing team. What you'll be doing In this role, you'll use statistical and machine learning techniques to analyse and model insurance data. Working closely with actuaries, underwriters, and data scientists to develop pricing models that accurately reflect risk and customer behaviours. Additionally, you'll seek out new opportunities to apply data science techniques to insurance and support those around you to grow and develop, sharing your expertise and best practise with the wider business. Working in an agile way means you'll take charge early on, soak up new experiences and most importantly you'll positively influence and shape what we do - making an impact on our customers lives. We'll utilise your skills where they are most needed whilst also giving you to opportunity to build and grow the breadth of your expertise. Due to the requirements for this role, previous experience within insurance/pricing is essential. What you'll need Previous data science / pricing experience within insurance Master's/PhD/professional certificates or experience in a quantitative field, Strong experience with statistical and machine learning techniques Experience with insurance pricing or actuarial modelling Python expertise (candidates with experience in other programming languages will also be considered) Experience with Domino (or other cloud platforms) is an advantage Ways of working Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Read our flexible working approach here What we'll give you We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Our core benefits include: 9% employer contributed pension 50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover Additional optional Health and Dental insurance Up to 10% bonus EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way. 25 days annual leave, increasing each year up to a maximum of 28 Buy as you earn share scheme Employee discounts and cashback Plus many more! Being Yourself Difference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work - that's why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we've made it our mission to give you everything you need to be authentically you. Discover more at Together we're one of a kind.
Direct Line Insurance Group plc
Glasgow, Renfrewshire
P&U Job Description About Us At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field, we're a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day. Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That's why our Pricers and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price. Join us as a Senior Data Scientist in our Motor Retail Pricing team. What you'll be doing In this role, you'll use statistical and machine learning techniques to analyse and model insurance data. Working closely with actuaries, underwriters, and data scientists to develop pricing models that accurately reflect risk and customer behaviours. Additionally, you'll seek out new opportunities to apply data science techniques to insurance and support those around you to grow and develop, sharing your expertise and best practise with the wider business. Working in an agile way means you'll take charge early on, soak up new experiences and most importantly you'll positively influence and shape what we do - making an impact on our customers lives. We'll utilise your skills where they are most needed whilst also giving you to opportunity to build and grow the breadth of your expertise. Due to the requirements for this role, previous experience within insurance/pricing is essential. What you'll need Previous data science / pricing experience within insurance Master's/PhD/professional certificates or experience in a quantitative field, Strong experience with statistical and machine learning techniques Experience with insurance pricing or actuarial modelling Python expertise (candidates with experience in other programming languages will also be considered) Experience with Domino (or other cloud platforms) is an advantage Ways of working Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Read our flexible working approach here What we'll give you We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Our core benefits include: 9% employer contributed pension 50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover Additional optional Health and Dental insurance Up to 10% bonus EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way. 25 days annual leave, increasing each year up to a maximum of 28 Buy as you earn share scheme Employee discounts and cashback Plus many more! Being Yourself Difference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work - that's why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we've made it our mission to give you everything you need to be authentically you. Discover more at Together we're one of a kind.
05/02/2025
Full time
P&U Job Description About Us At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field, we're a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day. Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That's why our Pricers and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price. Join us as a Senior Data Scientist in our Motor Retail Pricing team. What you'll be doing In this role, you'll use statistical and machine learning techniques to analyse and model insurance data. Working closely with actuaries, underwriters, and data scientists to develop pricing models that accurately reflect risk and customer behaviours. Additionally, you'll seek out new opportunities to apply data science techniques to insurance and support those around you to grow and develop, sharing your expertise and best practise with the wider business. Working in an agile way means you'll take charge early on, soak up new experiences and most importantly you'll positively influence and shape what we do - making an impact on our customers lives. We'll utilise your skills where they are most needed whilst also giving you to opportunity to build and grow the breadth of your expertise. Due to the requirements for this role, previous experience within insurance/pricing is essential. What you'll need Previous data science / pricing experience within insurance Master's/PhD/professional certificates or experience in a quantitative field, Strong experience with statistical and machine learning techniques Experience with insurance pricing or actuarial modelling Python expertise (candidates with experience in other programming languages will also be considered) Experience with Domino (or other cloud platforms) is an advantage Ways of working Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Read our flexible working approach here What we'll give you We wouldn't be where we are today without our people and the wide variety of perspectives and life experiences they bring. That's why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Our core benefits include: 9% employer contributed pension 50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover Additional optional Health and Dental insurance Up to 10% bonus EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way. 25 days annual leave, increasing each year up to a maximum of 28 Buy as you earn share scheme Employee discounts and cashback Plus many more! Being Yourself Difference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work - that's why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we've made it our mission to give you everything you need to be authentically you. Discover more at Together we're one of a kind.
As a Principal Machine Learning Engineer for Qodea, Europe's largest dedicated Google Cloud partner, you will lead the design and delivery of Machine Learning solutions for clients in addition to performing line management duties for a team of ML Engineers and Data Scientists. You'll report into the Head of Data & AI. You'll develop and deploy innovative machine learning models and AI solutions on Google Cloud using frameworks such as TensorFlow, scikit-learn, and torch. You'll use your hands-on experience of developing, training, and deploying AI models to help customers activate their data. You'll draw upon your technical expertise and track record of delivery to have positive and meaningful engagements with customers, to help them understand what's achievable with Google Cloud products and services. You'll be able to communicate concepts to both technical and non-technical audiences. Your solution designs will always consider the customers' requirements, and will be scalable and supportable. You'll always be open to exploring new technologies in this fast-moving field and will foster an innovative and creative mindset among the wider ML Team. Your Line Management duties will consist of regularly engaging with your team members, enabling their professional development and being a consistent source of encouragement and support during their time with the organisation. You'll also foster a positive and collaborative environment within the Machine Learning team through remote and in-person meetups, social events, and knowledge-sharing activities. Responsibilities: Lead discussions with clients to understand their business problems, work with your team to design technical solutions using machine learning models. Develop and deploy machine learning models on Google Cloud. Use version control and agile working practices. Stay up-to-date with the latest developments in machine learning and bring new ideas to the team. Minimum Requirements: Experience as a technical lead on technical projects, ideally involving a public cloud provider. Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Strong grasp of statistics and probability fundamentals. Solid understanding of machine learning algorithms for supervised and unsupervised learning. Hands-on experience training, deploying, and optimizing ML models. Strong Python and SQL skills. Experience with Cloud ML tools. Collaborative, proactive, logical, methodical, and attentive to detail. Passion for machine learning and demonstrating your ability to keep updated on the latest advancements in the industry. About Qodea Qodea (formally Appsbroker CTS) is the largest Google Cloud-only digital consultancy in Europe. Our name marks the culmination of a journey which began with the merger of Appsbroker and CTS in 2023. Combining the words 'code' and 'idea', our name embodies the essence of who we are and what we do; providing tried and trusted digital solutions, whilst helping our clients look to the future and innovate. As a purpose-driven, certified B Corp, we strive to be great to work with and great to work for. We're lucky to have some fantastic household names as customers, and fantastic colleagues delivering the ideas, technologies, and impacts that matter. With offices across Europe, you'll be joining a dynamic team of talented but down-to-earth experts, with a presence across the UK, the Netherlands, Romania, and Belgium. By joining forces, both companies bring over 15 years of Google Cloud experience under one roof, with over 420+ Google certifications, a list of brilliant enterprise customers, incredibly talented people, and multiple industry awards - meaning we can be trusted to deliver. Benefits: 36 days off each year including Bank Holidays (and your birthday off). Private healthcare scheme. Company pension. Flexible working culture. Work from Anywhere policy (up to 90 days per year). 10 paid Learning Days each year in addition to annual leave. Company events - opportunities to meet colleagues you don't see every day. Regular opportunities for industry recognised training and certifications. Learning and development opportunities. Opportunities to develop within a fast-growing tech business with ambitious growth and impact goals. Location: This role can be either fully remote or hybrid based depending on your preference. We have offices in London, Swindon, Manchester, and Edinburgh which you can choose to work from as often as you like. There is no mandatory office working, but you might be expected to travel to offices or customer sites for specific meetings or events. Diversity and Inclusion Statement At Qodea, we look after each other in an environment where everyone can work together to achieve great things. We're proud of our people-first culture that welcomes individuals from all backgrounds. Our commitment to diversity and inclusion creates a dynamic community, unlocks innovation and great ideas, and unites us around a common purpose - and we look for talented people to join us who share these values.
05/02/2025
Full time
As a Principal Machine Learning Engineer for Qodea, Europe's largest dedicated Google Cloud partner, you will lead the design and delivery of Machine Learning solutions for clients in addition to performing line management duties for a team of ML Engineers and Data Scientists. You'll report into the Head of Data & AI. You'll develop and deploy innovative machine learning models and AI solutions on Google Cloud using frameworks such as TensorFlow, scikit-learn, and torch. You'll use your hands-on experience of developing, training, and deploying AI models to help customers activate their data. You'll draw upon your technical expertise and track record of delivery to have positive and meaningful engagements with customers, to help them understand what's achievable with Google Cloud products and services. You'll be able to communicate concepts to both technical and non-technical audiences. Your solution designs will always consider the customers' requirements, and will be scalable and supportable. You'll always be open to exploring new technologies in this fast-moving field and will foster an innovative and creative mindset among the wider ML Team. Your Line Management duties will consist of regularly engaging with your team members, enabling their professional development and being a consistent source of encouragement and support during their time with the organisation. You'll also foster a positive and collaborative environment within the Machine Learning team through remote and in-person meetups, social events, and knowledge-sharing activities. Responsibilities: Lead discussions with clients to understand their business problems, work with your team to design technical solutions using machine learning models. Develop and deploy machine learning models on Google Cloud. Use version control and agile working practices. Stay up-to-date with the latest developments in machine learning and bring new ideas to the team. Minimum Requirements: Experience as a technical lead on technical projects, ideally involving a public cloud provider. Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Strong grasp of statistics and probability fundamentals. Solid understanding of machine learning algorithms for supervised and unsupervised learning. Hands-on experience training, deploying, and optimizing ML models. Strong Python and SQL skills. Experience with Cloud ML tools. Collaborative, proactive, logical, methodical, and attentive to detail. Passion for machine learning and demonstrating your ability to keep updated on the latest advancements in the industry. About Qodea Qodea (formally Appsbroker CTS) is the largest Google Cloud-only digital consultancy in Europe. Our name marks the culmination of a journey which began with the merger of Appsbroker and CTS in 2023. Combining the words 'code' and 'idea', our name embodies the essence of who we are and what we do; providing tried and trusted digital solutions, whilst helping our clients look to the future and innovate. As a purpose-driven, certified B Corp, we strive to be great to work with and great to work for. We're lucky to have some fantastic household names as customers, and fantastic colleagues delivering the ideas, technologies, and impacts that matter. With offices across Europe, you'll be joining a dynamic team of talented but down-to-earth experts, with a presence across the UK, the Netherlands, Romania, and Belgium. By joining forces, both companies bring over 15 years of Google Cloud experience under one roof, with over 420+ Google certifications, a list of brilliant enterprise customers, incredibly talented people, and multiple industry awards - meaning we can be trusted to deliver. Benefits: 36 days off each year including Bank Holidays (and your birthday off). Private healthcare scheme. Company pension. Flexible working culture. Work from Anywhere policy (up to 90 days per year). 10 paid Learning Days each year in addition to annual leave. Company events - opportunities to meet colleagues you don't see every day. Regular opportunities for industry recognised training and certifications. Learning and development opportunities. Opportunities to develop within a fast-growing tech business with ambitious growth and impact goals. Location: This role can be either fully remote or hybrid based depending on your preference. We have offices in London, Swindon, Manchester, and Edinburgh which you can choose to work from as often as you like. There is no mandatory office working, but you might be expected to travel to offices or customer sites for specific meetings or events. Diversity and Inclusion Statement At Qodea, we look after each other in an environment where everyone can work together to achieve great things. We're proud of our people-first culture that welcomes individuals from all backgrounds. Our commitment to diversity and inclusion creates a dynamic community, unlocks innovation and great ideas, and unites us around a common purpose - and we look for talented people to join us who share these values.
Data Science function hiring in: United Kingdom Work Preference Option(s): Hybrid Work From Home This is a perfect opportunity for ambitious individuals to join a team of curious minds and supportive peers with a passion for creating value for businesses using data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role Senior Data Scientists are the driving force in delivering innovative and high-quality data science projects for our customers. Aligning Software with Data provides a powerful platform through which we engage some of the world's leading brands in long-term strategic digital transformation. The Digital Services team is a multi-disciplined group working alongside the Engineering Group (software, platform, and data engineering). Data Science, as a mature practice, is dedicated to the business application of a wide range of data science techniques and industry best practices. As a Senior Data Scientist, you will work as part of a team that designs and implements data science solutions for businesses, using suitable methodology and programming languages, confidently assuming responsibility for technical specifications. You will have the opportunity to: Work as part of a multi-skilled delivery team on client engagements Quickly learn and apply skills to real business challenges Shape and design solutions for customers that impact business KPIs Contribute to a collective knowledge pool and gain appreciation Work on a variety of businesses and problems, with data of all shapes and sizes Be supported by the Data practice and a collective knowledge pool Guide and mentor junior members of the team on and off projects Keep up to date on the latest technologies, techniques, and best practices Work with the latest Azure offerings and get certified Attend and present at high-profile conferences Contribute to open-source projects Responsibilities Primary Duties Using strong business acumen and a solid understanding of data science use cases, author and refine project technical specifications Relentlessly focus on creating business impact and delivering value Apply statistical rigor and computational efficiency in project delivery Design and implement end-to-end data pipelines fit for purpose Communicate frequently and appropriately during the delivery process Present work to technical and non-technical audiences Support Sales by participating in the pre-sales process and contributing to proposals Other Manage junior members in a line manager capacity Promote Ascent publicly via blogging and conferencing Deliver internal training and knowledge-sharing Keep up to date with relevant technologies and current trends Travel for work as required Requirements A successful candidate will demonstrate these traits: Curious and inquisitive Thoughtful Consultative and business-minded Detail-oriented Analytical approach to problem-solving Sense of responsibility Critical and constructive thinking Logical and methodical reasoning Communicate with clarity and purpose And these skills: Required Fluent in R for data science Fluent in SQL (any flavor) for analysis Experienced in applying a broad range of data science techniques to solutions in business process and systems, including data visualization, package development, machine learning algorithms, NLP, Shiny/Dash, optimization, deep learning, reinforcement learning Daily use of git Highly Desirable Competence in Python for data science Deploying data science solutions on a cloud platform, including MLOps (CI/CD, Feature Store, drift monitoring, MLflow, DVC, Docker, Kubernetes) and webapp (Azure App Services, Azure Web Apps); Azure ML and MSFT Certificate Experience in pharmaceutical data science Experience with Generative AI (GenAI) and Large Language Models (LLM) Algorithm design experience Data architecture knowledge API design and deployment experience NoSQL DB experience Beneficial and Others DBA experience Qualifications 5+ years of data science experience Right to work in the UK and/or EU Azure Data Science Associate Certificate is desirable Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on .
05/02/2025
Full time
Data Science function hiring in: United Kingdom Work Preference Option(s): Hybrid Work From Home This is a perfect opportunity for ambitious individuals to join a team of curious minds and supportive peers with a passion for creating value for businesses using data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role Senior Data Scientists are the driving force in delivering innovative and high-quality data science projects for our customers. Aligning Software with Data provides a powerful platform through which we engage some of the world's leading brands in long-term strategic digital transformation. The Digital Services team is a multi-disciplined group working alongside the Engineering Group (software, platform, and data engineering). Data Science, as a mature practice, is dedicated to the business application of a wide range of data science techniques and industry best practices. As a Senior Data Scientist, you will work as part of a team that designs and implements data science solutions for businesses, using suitable methodology and programming languages, confidently assuming responsibility for technical specifications. You will have the opportunity to: Work as part of a multi-skilled delivery team on client engagements Quickly learn and apply skills to real business challenges Shape and design solutions for customers that impact business KPIs Contribute to a collective knowledge pool and gain appreciation Work on a variety of businesses and problems, with data of all shapes and sizes Be supported by the Data practice and a collective knowledge pool Guide and mentor junior members of the team on and off projects Keep up to date on the latest technologies, techniques, and best practices Work with the latest Azure offerings and get certified Attend and present at high-profile conferences Contribute to open-source projects Responsibilities Primary Duties Using strong business acumen and a solid understanding of data science use cases, author and refine project technical specifications Relentlessly focus on creating business impact and delivering value Apply statistical rigor and computational efficiency in project delivery Design and implement end-to-end data pipelines fit for purpose Communicate frequently and appropriately during the delivery process Present work to technical and non-technical audiences Support Sales by participating in the pre-sales process and contributing to proposals Other Manage junior members in a line manager capacity Promote Ascent publicly via blogging and conferencing Deliver internal training and knowledge-sharing Keep up to date with relevant technologies and current trends Travel for work as required Requirements A successful candidate will demonstrate these traits: Curious and inquisitive Thoughtful Consultative and business-minded Detail-oriented Analytical approach to problem-solving Sense of responsibility Critical and constructive thinking Logical and methodical reasoning Communicate with clarity and purpose And these skills: Required Fluent in R for data science Fluent in SQL (any flavor) for analysis Experienced in applying a broad range of data science techniques to solutions in business process and systems, including data visualization, package development, machine learning algorithms, NLP, Shiny/Dash, optimization, deep learning, reinforcement learning Daily use of git Highly Desirable Competence in Python for data science Deploying data science solutions on a cloud platform, including MLOps (CI/CD, Feature Store, drift monitoring, MLflow, DVC, Docker, Kubernetes) and webapp (Azure App Services, Azure Web Apps); Azure ML and MSFT Certificate Experience in pharmaceutical data science Experience with Generative AI (GenAI) and Large Language Models (LLM) Algorithm design experience Data architecture knowledge API design and deployment experience NoSQL DB experience Beneficial and Others DBA experience Qualifications 5+ years of data science experience Right to work in the UK and/or EU Azure Data Science Associate Certificate is desirable Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on .
Bumble is looking for a Senior Data Scientist to join our team and play a key role in fulfilling our mission to create a world where all relationships are healthy and equitable. Concretely, this means exploring our large datasets, developing statistical models and designing data-driven strategies for products that provide a safe and engaging experience for our users, and improve the way Bumble operates. With millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people find love all over the world! The ideal candidate combines strong business acumen, extensive experience in data science and advanced analytics along with a passion for tech. THE RECOMMENDATIONS TEAM We are part of the cross-functional Recommendations group at Bumble Inc., a team of passionate engineers, scientists, and machine learning professionals who focus on designing and building products that power our mission of "creating a world where all relationships are healthy and equitable, through Kind Connections." We partner with wider business stakeholders, Product, and other Engineering teams to build state-of-the-art recommendation systems for our portfolio of apps, including Bumble, Badoo, BFF, and Fruitz. We are passionate about improving the experience of our members through leveraging AI and Machine Learning in our products. WHAT YOU WILL BE DOING Work in a cross-functional team alongside machine learning scientists and machine learning engineers Work out where the most value is and help set up frameworks for evaluating algorithmic improvements Set up and conduct large-scale experiments to test hypotheses and drive product development Assess impact of algorithm changes on marketplace dynamics Partner with business functions and engineering teams to help frame problems into scalable AI solutions and solve key problems by leveraging the large and complex datasets at our disposal Collaborate with Product Management to establish roadmaps and define key metrics to optimise for alignment with Bumble's strategic objectives Drive a culture of insightful storytelling across the business Keep up with state-of-the-art research with the opportunity to create prototypes for the business and present at top conferences WE'D LOVE TO MEET SOMEONE WITH A degree in Computer Science, Mathematics or a similar quantitative discipline like economics or social science Strong statistical modelling background - hypotheses testing, inference, regressions, random variables Comfortable presenting back to technical and non-technical stakeholders through effective data visualisation and building of reporting frameworks Comfortable with Python data science libraries such as pandas, scikit-learn, numpy, statsmodels Strong SQL experience including analytic functions, performance tuning, data wrangling Ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholders Ability to combine business intuition with the application of advanced solutions A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities A curious mind, self-starter and endlessly keen to learn and develop themselves professionally AN ADDED BONUS IF YOU HAVE An understanding of multi-sided markets and/or dating problem space Experience in using advanced statistical methods to solve problems. This can either be through academic projects and publications, or experience analysing and solving problems within industry Understanding of Machine Learning development lifecycle Hands-on experience in delivering Machine Learning models A basic knowledge of software development life cycle processes and tools - ETL pipelines, CI/CD, MLOps, agile methodologies, version control (git), testing frameworks
05/02/2025
Full time
Bumble is looking for a Senior Data Scientist to join our team and play a key role in fulfilling our mission to create a world where all relationships are healthy and equitable. Concretely, this means exploring our large datasets, developing statistical models and designing data-driven strategies for products that provide a safe and engaging experience for our users, and improve the way Bumble operates. With millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people find love all over the world! The ideal candidate combines strong business acumen, extensive experience in data science and advanced analytics along with a passion for tech. THE RECOMMENDATIONS TEAM We are part of the cross-functional Recommendations group at Bumble Inc., a team of passionate engineers, scientists, and machine learning professionals who focus on designing and building products that power our mission of "creating a world where all relationships are healthy and equitable, through Kind Connections." We partner with wider business stakeholders, Product, and other Engineering teams to build state-of-the-art recommendation systems for our portfolio of apps, including Bumble, Badoo, BFF, and Fruitz. We are passionate about improving the experience of our members through leveraging AI and Machine Learning in our products. WHAT YOU WILL BE DOING Work in a cross-functional team alongside machine learning scientists and machine learning engineers Work out where the most value is and help set up frameworks for evaluating algorithmic improvements Set up and conduct large-scale experiments to test hypotheses and drive product development Assess impact of algorithm changes on marketplace dynamics Partner with business functions and engineering teams to help frame problems into scalable AI solutions and solve key problems by leveraging the large and complex datasets at our disposal Collaborate with Product Management to establish roadmaps and define key metrics to optimise for alignment with Bumble's strategic objectives Drive a culture of insightful storytelling across the business Keep up with state-of-the-art research with the opportunity to create prototypes for the business and present at top conferences WE'D LOVE TO MEET SOMEONE WITH A degree in Computer Science, Mathematics or a similar quantitative discipline like economics or social science Strong statistical modelling background - hypotheses testing, inference, regressions, random variables Comfortable presenting back to technical and non-technical stakeholders through effective data visualisation and building of reporting frameworks Comfortable with Python data science libraries such as pandas, scikit-learn, numpy, statsmodels Strong SQL experience including analytic functions, performance tuning, data wrangling Ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholders Ability to combine business intuition with the application of advanced solutions A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities A curious mind, self-starter and endlessly keen to learn and develop themselves professionally AN ADDED BONUS IF YOU HAVE An understanding of multi-sided markets and/or dating problem space Experience in using advanced statistical methods to solve problems. This can either be through academic projects and publications, or experience analysing and solving problems within industry Understanding of Machine Learning development lifecycle Hands-on experience in delivering Machine Learning models A basic knowledge of software development life cycle processes and tools - ETL pipelines, CI/CD, MLOps, agile methodologies, version control (git), testing frameworks
. Principal Architect page is loaded Principal Architect Principal Architect locationsLondon time typeFull time posted onPosted Today time left to applyEnd Date: March 31, 2025 (30+ days left to apply) job requisition idSR-29266 It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Principal Architect Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.Please visit for more information about Fractal Location: London, UK Responsibilities: Evaluate the current technology landscape and recommend a forward-looking, short, and long-term technology strategic vision. Engage with senior technical leaders at the client site, becoming a trusted thought partner by understanding their challenges and providing strategic guidance. Build and maintain strong relationships with senior client leaders and cross-functional stakeholders. Proactively understand client needs and align them with Fractal's value propositions, proposing innovative and comprehensive solutions. Collaborate with offshore delivery teams and other multidisciplinary teams within Fractal to ensure seamless integration and delivery of solutions. Be willing to take a hands-on approach to understand complex contexts and underlying client requirements. Participate in the creation and sharing of best practices, technical content, and new reference architectures. Provide technical architecture leadership and direction on projects, ensuring secure, scalable, reliable, and maintainable platforms. Work with data engineers and data scientists to develop architectures and solutions. Assist in ensuring the smooth delivery of services, products, and solutions, while balancing immediate client needs with long-term technical strategy. Success Profile: In-depth experience as an Architect with expertise in Google Cloud Platform and a passion for applying the latest technologies to solve complex business problems. An ideal candidate would have: 12+ years of experience in Data Engineering and Cloud Native technologies (including Google Cloud Platforms), covering big data, analytics, and AI/ML domains. Extensive experience with GCP tools and technologies, including BigQuery, Cloud Composer, Data Flow, Cloud Storage, Vertex AI, and Dataproc. Expertise in creating, deploying, configuring, and scaling applications on GCP serverless infrastructure. Strong knowledge and working experience in Data Engineering, Data Management, and Data Governance. Proven track record of delivering multiple end-to-end Data Engineering, Data Warehousing, or Analytics projects. Knowledge of general programming languages and frameworks, particularly Python and/or Java. Familiarity with general technology best practices and development lifecycles such as Agile and CI/CD, as well as DevOps and MLOps for more efficient data and machine learning pipelines. Ability to design and implement future-proof, complex global solutions using GCP services. Hands-on experience with foundational architectures, including microservices, event-driven systems, and event streaming, and online machine learning systems. Excellent communication and influencing skills, with the ability to adapt messages to various audiences and build consensus. Preferred Qualifications Experience in container technologies, specifically Docker and Kubernetes. Experience or knowledge of DevOps on GCP. Google Cloud Professional Cloud Architect Certification. Demonstrated ability to navigate complex stakeholder environments and build strong, lasting relationships. Hands-on approach and willingness to delve into technical details to understand the full context of a problem and ensure the best solutions are provided. Experience with AWS, especially in the context of hybrid cloud setups. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
05/02/2025
Full time
. Principal Architect page is loaded Principal Architect Principal Architect locationsLondon time typeFull time posted onPosted Today time left to applyEnd Date: March 31, 2025 (30+ days left to apply) job requisition idSR-29266 It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Principal Architect Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.Please visit for more information about Fractal Location: London, UK Responsibilities: Evaluate the current technology landscape and recommend a forward-looking, short, and long-term technology strategic vision. Engage with senior technical leaders at the client site, becoming a trusted thought partner by understanding their challenges and providing strategic guidance. Build and maintain strong relationships with senior client leaders and cross-functional stakeholders. Proactively understand client needs and align them with Fractal's value propositions, proposing innovative and comprehensive solutions. Collaborate with offshore delivery teams and other multidisciplinary teams within Fractal to ensure seamless integration and delivery of solutions. Be willing to take a hands-on approach to understand complex contexts and underlying client requirements. Participate in the creation and sharing of best practices, technical content, and new reference architectures. Provide technical architecture leadership and direction on projects, ensuring secure, scalable, reliable, and maintainable platforms. Work with data engineers and data scientists to develop architectures and solutions. Assist in ensuring the smooth delivery of services, products, and solutions, while balancing immediate client needs with long-term technical strategy. Success Profile: In-depth experience as an Architect with expertise in Google Cloud Platform and a passion for applying the latest technologies to solve complex business problems. An ideal candidate would have: 12+ years of experience in Data Engineering and Cloud Native technologies (including Google Cloud Platforms), covering big data, analytics, and AI/ML domains. Extensive experience with GCP tools and technologies, including BigQuery, Cloud Composer, Data Flow, Cloud Storage, Vertex AI, and Dataproc. Expertise in creating, deploying, configuring, and scaling applications on GCP serverless infrastructure. Strong knowledge and working experience in Data Engineering, Data Management, and Data Governance. Proven track record of delivering multiple end-to-end Data Engineering, Data Warehousing, or Analytics projects. Knowledge of general programming languages and frameworks, particularly Python and/or Java. Familiarity with general technology best practices and development lifecycles such as Agile and CI/CD, as well as DevOps and MLOps for more efficient data and machine learning pipelines. Ability to design and implement future-proof, complex global solutions using GCP services. Hands-on experience with foundational architectures, including microservices, event-driven systems, and event streaming, and online machine learning systems. Excellent communication and influencing skills, with the ability to adapt messages to various audiences and build consensus. Preferred Qualifications Experience in container technologies, specifically Docker and Kubernetes. Experience or knowledge of DevOps on GCP. Google Cloud Professional Cloud Architect Certification. Demonstrated ability to navigate complex stakeholder environments and build strong, lasting relationships. Hands-on approach and willingness to delve into technical details to understand the full context of a problem and ensure the best solutions are provided. Experience with AWS, especially in the context of hybrid cloud setups. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Clearance Type: Highest Level of Government Clearance Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies - makes decisions that impact the achievement of own organisation's objectives and financial performance. Provide technical leadership for multiple teams of data scientists, to ensure projects are delivered on schedule and to quality, and manage any changes to data science work packages. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders, internally, in the customer organisation and with industry leaders, supported by an excellent working knowledge of the customer domain and the ability to communicate technical and non-technical information effectively at all levels. Broker new relationships within the customer organisation, and reach back into Northrop Grumman and its partners to provide added value to the customer through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, and grow a portfolio of projects, using customer knowledge to ensure proposals meet their needs. We are looking for: Champion innovation and best practice, and apply emerging theory to our customers' missions, to ensure Northrop Grumman remains at the leading edge of the application of data science and machine learning. Communicate with senior (internal and customer) stakeholders and convince them of the business benefits of data science and machine learning aligned with wider organisational objectives. Exhibit a breadth of understanding across data science and machine learning and be able to help other data scientists apply this to a range of customer problems, and have deeper expertise in a number of areas of data science and machine learning. Work with data engineers and customers to map, produce, transform and test data feeds that support the application of data science and machine learning solutions. Design, code, test, correct and document moderate-to-complex programs and scripts to agreed specifications and review the code of other data scientists. Experience in geographical information systems and in predictive and prescriptive analysis of geographical data would be a bonus. Security clearance: You must already hold the highest level of UK Government security clearance. Our requirement team is on hand to answer any questions and we will guide you through the process: . Ready to apply? Yes- Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information and support: . No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Speak to our team to discuss your career goals. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce. Did you know? Northrop Grumman leads the industry team for NASA's James Webb Space Telescope, the largest, most complex and powerful space telescope ever built. Launched in December 2021, the telescope incorporates innovative design, advanced technology, and groundbreaking engineering, and will fundamentally alter our understanding of the universe.
05/02/2025
Full time
Clearance Type: Highest Level of Government Clearance Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies - makes decisions that impact the achievement of own organisation's objectives and financial performance. Provide technical leadership for multiple teams of data scientists, to ensure projects are delivered on schedule and to quality, and manage any changes to data science work packages. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders, internally, in the customer organisation and with industry leaders, supported by an excellent working knowledge of the customer domain and the ability to communicate technical and non-technical information effectively at all levels. Broker new relationships within the customer organisation, and reach back into Northrop Grumman and its partners to provide added value to the customer through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, and grow a portfolio of projects, using customer knowledge to ensure proposals meet their needs. We are looking for: Champion innovation and best practice, and apply emerging theory to our customers' missions, to ensure Northrop Grumman remains at the leading edge of the application of data science and machine learning. Communicate with senior (internal and customer) stakeholders and convince them of the business benefits of data science and machine learning aligned with wider organisational objectives. Exhibit a breadth of understanding across data science and machine learning and be able to help other data scientists apply this to a range of customer problems, and have deeper expertise in a number of areas of data science and machine learning. Work with data engineers and customers to map, produce, transform and test data feeds that support the application of data science and machine learning solutions. Design, code, test, correct and document moderate-to-complex programs and scripts to agreed specifications and review the code of other data scientists. Experience in geographical information systems and in predictive and prescriptive analysis of geographical data would be a bonus. Security clearance: You must already hold the highest level of UK Government security clearance. Our requirement team is on hand to answer any questions and we will guide you through the process: . Ready to apply? Yes- Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information and support: . No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Speak to our team to discuss your career goals. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce. Did you know? Northrop Grumman leads the industry team for NASA's James Webb Space Telescope, the largest, most complex and powerful space telescope ever built. Launched in December 2021, the telescope incorporates innovative design, advanced technology, and groundbreaking engineering, and will fundamentally alter our understanding of the universe.
Clearance Type: Highest Level of Government Clearance Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies - makes decisions that impact the achievement of own organisation's objectives and financial performance. Provide technical leadership for multiple teams of data scientists, to ensure projects are delivered on schedule and to quality, and manage any changes to data science work packages. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders, internally, in the customer organisation and with industry leaders, supported by an excellent working knowledge of the customer domain and the ability to communicate technical and non-technical information effectively at all levels. Broker new relationships within the customer organisation, and reach back into Northrop Grumman and its partners to provide added value to the customer through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, and grow a portfolio of projects, using customer knowledge to ensure proposals meet their needs. We are looking for: Champion innovation and best practice, and apply emerging theory to our customers' missions, to ensure Northrop Grumman remains at the leading edge of the application of data science and machine learning. Communicate with senior (internal and customer) stakeholders and convince them of the business benefits of data science and machine learning aligned with wider organisational objectives. Exhibit a breadth of understanding across data science and machine learning and be able to help other data scientists apply this to a range of customer problems, and have deeper expertise in a number of areas of data science and machine learning. Work with data engineers and customers to map, produce, transform and test data feeds that support the application of data science and machine learning solutions. Design, code, test, correct and document moderate-to-complex programs and scripts to agreed specifications and review the code of other data scientists. Experience in geographical information systems and in predictive and prescriptive analysis of geographical data would be a bonus. Security clearance: You must already hold the highest level of UK Government security clearance. Our requirement team is on hand to answer any questions and we will guide you through the process: . Ready to apply? Yes- Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information and support: . No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Speak to our team to discuss your career goals. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce. Did you know? Northrop Grumman leads the industry team for NASA's James Webb Space Telescope, the largest, most complex and powerful space telescope ever built. Launched in December 2021, the telescope incorporates innovative design, advanced technology, and groundbreaking engineering, and will fundamentally alter our understanding of the universe.
05/02/2025
Full time
Clearance Type: Highest Level of Government Clearance Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies - makes decisions that impact the achievement of own organisation's objectives and financial performance. Provide technical leadership for multiple teams of data scientists, to ensure projects are delivered on schedule and to quality, and manage any changes to data science work packages. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders, internally, in the customer organisation and with industry leaders, supported by an excellent working knowledge of the customer domain and the ability to communicate technical and non-technical information effectively at all levels. Broker new relationships within the customer organisation, and reach back into Northrop Grumman and its partners to provide added value to the customer through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, and grow a portfolio of projects, using customer knowledge to ensure proposals meet their needs. We are looking for: Champion innovation and best practice, and apply emerging theory to our customers' missions, to ensure Northrop Grumman remains at the leading edge of the application of data science and machine learning. Communicate with senior (internal and customer) stakeholders and convince them of the business benefits of data science and machine learning aligned with wider organisational objectives. Exhibit a breadth of understanding across data science and machine learning and be able to help other data scientists apply this to a range of customer problems, and have deeper expertise in a number of areas of data science and machine learning. Work with data engineers and customers to map, produce, transform and test data feeds that support the application of data science and machine learning solutions. Design, code, test, correct and document moderate-to-complex programs and scripts to agreed specifications and review the code of other data scientists. Experience in geographical information systems and in predictive and prescriptive analysis of geographical data would be a bonus. Security clearance: You must already hold the highest level of UK Government security clearance. Our requirement team is on hand to answer any questions and we will guide you through the process: . Ready to apply? Yes- Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information and support: . No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Speak to our team to discuss your career goals. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce. Did you know? Northrop Grumman leads the industry team for NASA's James Webb Space Telescope, the largest, most complex and powerful space telescope ever built. Launched in December 2021, the telescope incorporates innovative design, advanced technology, and groundbreaking engineering, and will fundamentally alter our understanding of the universe.
Senior Platform Engineer - DV Cleared Up to £100,000 + Stock Options London, Hybrid (Must have active DV clearance) Would you be interested in joining a new Platform Engineering team for a self-funded scale-up that build and deliver Data Analytics products for government bodies? This data scale-up operate mainly within the public sector, helping government bodies that have vast swathes of data to make better use of it. They're looking to build a new team of Platform Engineers for a new longstanding secure government project, that involves working alongside data engineers and data scientists to manage, support and build the infrastructure. Tech stack, therefore, skills needed: Kubernetes or Openshift ELK Stack, ElasticSearch or Opensearch Linux CI/CD Nice to haves, but definitely not essential: Cloudera Hadoop Spark Kafka Hbase Hue Atlas Logistics: up to £100,000 base salary 30 days holiday + bank holidays Private health care Annual trips to see the northern lights! Location: Central London Please note, candidates MUST already have DV clearance, SC clearance alone doesn't meet the requirement. Apply now, or contact (see below) for more information We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age
05/02/2025
Full time
Senior Platform Engineer - DV Cleared Up to £100,000 + Stock Options London, Hybrid (Must have active DV clearance) Would you be interested in joining a new Platform Engineering team for a self-funded scale-up that build and deliver Data Analytics products for government bodies? This data scale-up operate mainly within the public sector, helping government bodies that have vast swathes of data to make better use of it. They're looking to build a new team of Platform Engineers for a new longstanding secure government project, that involves working alongside data engineers and data scientists to manage, support and build the infrastructure. Tech stack, therefore, skills needed: Kubernetes or Openshift ELK Stack, ElasticSearch or Opensearch Linux CI/CD Nice to haves, but definitely not essential: Cloudera Hadoop Spark Kafka Hbase Hue Atlas Logistics: up to £100,000 base salary 30 days holiday + bank holidays Private health care Annual trips to see the northern lights! Location: Central London Please note, candidates MUST already have DV clearance, SC clearance alone doesn't meet the requirement. Apply now, or contact (see below) for more information We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age
Investment Banking Python/Javascript AI Engineer - AI/ML Models/risk/NLP - Glasgow (Contract) Our IB client is looking for a skilled and experienced Developer to join our architecture delivery team. This role focuses on build AI Architect empowering architects and developers in making informed, data-driven decisions, automating repetitive architecture tasks, and streamlining documentation workflows. Key Responsibilities: Design, develop, and implement a scalable, AI-driven architecture platform. Work closely with architects and data scientists to embed AI/ML models into the system for enhanced decision-making, such as recommendation engines. Drive the adoption of AI Architect and best practices across the development teams, ensuring consistency and alignment with enterprise standards. Participate in and lead architecture communities of practice to foster knowledge-sharing and innovation within the organization. Stay updated on the latest architecture and technology trends relevant to financial services, such as cloud computing, data security, AI, and distributed systems. Skills/Qualifications: 5+ years of experience in at least one of the following: JavaScript, Java, TypeScript, or Python End-to-end Systems Development: Proven ability to architect and build complex systems with a long-term vision Expertise in financial services applications, including knowledge of transaction processing, risk management, and data security. Excellent communication skills, with the ability to present complex architectural ideas to diverse stakeholders. Strong problem-solving and critical thinking skills, with a track record of innovative solution design in complex environments. Understanding of experimental design, statistical analysis, and data-driven decision making. Proficiency in collaborating with data scientists to translate advanced models into scalable production code Familiarity with AI-driven frameworks like knowledge graphs, natural language processing (NLP), or recommendation systems is a big plus. Inside IR35 - Hybrid - Glasgow based - 12 months initial contract By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
05/02/2025
Contractor
Investment Banking Python/Javascript AI Engineer - AI/ML Models/risk/NLP - Glasgow (Contract) Our IB client is looking for a skilled and experienced Developer to join our architecture delivery team. This role focuses on build AI Architect empowering architects and developers in making informed, data-driven decisions, automating repetitive architecture tasks, and streamlining documentation workflows. Key Responsibilities: Design, develop, and implement a scalable, AI-driven architecture platform. Work closely with architects and data scientists to embed AI/ML models into the system for enhanced decision-making, such as recommendation engines. Drive the adoption of AI Architect and best practices across the development teams, ensuring consistency and alignment with enterprise standards. Participate in and lead architecture communities of practice to foster knowledge-sharing and innovation within the organization. Stay updated on the latest architecture and technology trends relevant to financial services, such as cloud computing, data security, AI, and distributed systems. Skills/Qualifications: 5+ years of experience in at least one of the following: JavaScript, Java, TypeScript, or Python End-to-end Systems Development: Proven ability to architect and build complex systems with a long-term vision Expertise in financial services applications, including knowledge of transaction processing, risk management, and data security. Excellent communication skills, with the ability to present complex architectural ideas to diverse stakeholders. Strong problem-solving and critical thinking skills, with a track record of innovative solution design in complex environments. Understanding of experimental design, statistical analysis, and data-driven decision making. Proficiency in collaborating with data scientists to translate advanced models into scalable production code Familiarity with AI-driven frameworks like knowledge graphs, natural language processing (NLP), or recommendation systems is a big plus. Inside IR35 - Hybrid - Glasgow based - 12 months initial contract By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
Investment Banking - Senior C++ Developer - Glasgow - C++, Python, SDLC, Linux The candidate will be working with a UK based team of passionate programming-language subject matter experts, as well as developers, data scientists and technical leads across the entire firm. They will be responsible for helping to maintain an extensive library of C++ plug-ins for kdb users that as well as engineering internal tools and libraries where necessary. We are looking for a candidate who is keen to work with new languages. This is primarily a C++ role but openness to learn and work with KDB+/q and python will be required. Prior knowledge of KDB not necessary. Skills required: Core C++ development Python development Familiarity with the enterprise Software Development Lifecycle (SDLC) Familiarity with Linux Good communication/organisation skills Skills desired: Prior experience with OCI containerisation tools/platforms (such as Docker, Kubernetes) Prior kdb+/q experience (or willingness to learn on the job) High-level understanding of Windows development By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
05/02/2025
Contractor
Investment Banking - Senior C++ Developer - Glasgow - C++, Python, SDLC, Linux The candidate will be working with a UK based team of passionate programming-language subject matter experts, as well as developers, data scientists and technical leads across the entire firm. They will be responsible for helping to maintain an extensive library of C++ plug-ins for kdb users that as well as engineering internal tools and libraries where necessary. We are looking for a candidate who is keen to work with new languages. This is primarily a C++ role but openness to learn and work with KDB+/q and python will be required. Prior knowledge of KDB not necessary. Skills required: Core C++ development Python development Familiarity with the enterprise Software Development Lifecycle (SDLC) Familiarity with Linux Good communication/organisation skills Skills desired: Prior experience with OCI containerisation tools/platforms (such as Docker, Kubernetes) Prior kdb+/q experience (or willingness to learn on the job) High-level understanding of Windows development By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
05/02/2025
Full time
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for an Experienced CRM Data Scientist to join our team in London! Salary Range: £60,000 - £70,000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement. We are building a new real-time CRM platform, and this is a great chance to have a profound impact on the project. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse / data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness to take ownership of analytics projects and drive them from ideation phase to product delivery. What will make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of TensorFlow / PyTorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Experience with application of optimization theory or reinforcement learning based on automated A/B testing. Projects you might expect to work on: Predicting future expected value and future potential value of individual customers. Real-time prediction of customer churn. Building multi-level customer segmentation driven by predictive models. Here's what we offer: 25 days of annual leave. 5 days of sick leave. Access to learning resources (Udemy, LinkedIn, O'Reilly). At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!
05/02/2025
Full time
EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for an Experienced CRM Data Scientist to join our team in London! Salary Range: £60,000 - £70,000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement. We are building a new real-time CRM platform, and this is a great chance to have a profound impact on the project. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse / data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness to take ownership of analytics projects and drive them from ideation phase to product delivery. What will make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of TensorFlow / PyTorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Experience with application of optimization theory or reinforcement learning based on automated A/B testing. Projects you might expect to work on: Predicting future expected value and future potential value of individual customers. Real-time prediction of customer churn. Building multi-level customer segmentation driven by predictive models. Here's what we offer: 25 days of annual leave. 5 days of sick leave. Access to learning resources (Udemy, LinkedIn, O'Reilly). At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!
Position: Data Scientist, Machine Learning Engineer Company: Meta Client Statistics: 11 clients (27% rebook rate) Rating: 5.0 (5 reviews) About Yahia Yahia is a former Facebook Senior Research Data Scientist in their London office. He has conducted over 50+ interviews for Facebook and has coached more than 10+ people throughout his career. He has experience working in eCommerce, applied statistics, data center optimization, and instrumentation. Today, Yahia is a Senior Machine Learning Engineer for a major social media network. Mentoring Expertise Yahia is an expert in the following areas and can mentor you to improve these skills: Generic Skills: Technical communication, cross-functional collaboration, performance reviews, managing up. Engineering Skills: Python, Data Structures, Machine Learning, LLM fine-tuning, observability, large-scale ML deployments, code quality. Data Skills: Experimentation, measurement framework and metric design, data analysis and data manipulation. Services Offered Career coaching, Interview coaching, Mentoring Availability Times are shown in your local timezone. Public Reviews "Yahia was incredibly helpful in guiding me through my career orientation. His impressive track record in big tech and deep expertise in the data field, combined with his advice tailored to my background and goals, made our session invaluable! I'm confident the insights I gained will have a lasting impact on my career." - Sam, Apr 16, 2024 "Yahia had great feedback and guidance! He also gave me some useful additional resources to help me prepare even more for my upcoming interview!" - Aicha, Jul 04, 2023 "Extremely helpful session. I consulted Yahia to get advice on which data science position to pursue. He asked many questions to understand my background, strengths, and preferences at work. This helped get more clarity on what I want career-wise, which is exactly what I wanted out of that session. He also gave me information on how to prepare for the interviews." - Irina, Sep 13, 2022 "Yahia is a great coach, he provides actionable feedback and I know what to work on next in my preparation for the interviews!" Scheduling Purchase sessions first to schedule time with Yahia E. or other coaches.
05/02/2025
Full time
Position: Data Scientist, Machine Learning Engineer Company: Meta Client Statistics: 11 clients (27% rebook rate) Rating: 5.0 (5 reviews) About Yahia Yahia is a former Facebook Senior Research Data Scientist in their London office. He has conducted over 50+ interviews for Facebook and has coached more than 10+ people throughout his career. He has experience working in eCommerce, applied statistics, data center optimization, and instrumentation. Today, Yahia is a Senior Machine Learning Engineer for a major social media network. Mentoring Expertise Yahia is an expert in the following areas and can mentor you to improve these skills: Generic Skills: Technical communication, cross-functional collaboration, performance reviews, managing up. Engineering Skills: Python, Data Structures, Machine Learning, LLM fine-tuning, observability, large-scale ML deployments, code quality. Data Skills: Experimentation, measurement framework and metric design, data analysis and data manipulation. Services Offered Career coaching, Interview coaching, Mentoring Availability Times are shown in your local timezone. Public Reviews "Yahia was incredibly helpful in guiding me through my career orientation. His impressive track record in big tech and deep expertise in the data field, combined with his advice tailored to my background and goals, made our session invaluable! I'm confident the insights I gained will have a lasting impact on my career." - Sam, Apr 16, 2024 "Yahia had great feedback and guidance! He also gave me some useful additional resources to help me prepare even more for my upcoming interview!" - Aicha, Jul 04, 2023 "Extremely helpful session. I consulted Yahia to get advice on which data science position to pursue. He asked many questions to understand my background, strengths, and preferences at work. This helped get more clarity on what I want career-wise, which is exactly what I wanted out of that session. He also gave me information on how to prepare for the interviews." - Irina, Sep 13, 2022 "Yahia is a great coach, he provides actionable feedback and I know what to work on next in my preparation for the interviews!" Scheduling Purchase sessions first to schedule time with Yahia E. or other coaches.
At Peak21, we specialize in acquiring large direct-to-consumer (D2C) brands across the United States, Europe, and Asia, in addition to incubating our own. With a portfolio of D2C brands generating $200 million in sales, all bootstrapped and profitable, we are dedicated to fostering growth and innovation in the D2C sector. We are currently seeking a Data Scientist to join our dynamic team. This position is full time in our London office. What makes this an exciting opportunity? Opportunity to join a well-funded startup with top-tier investors Work with a highly experienced and entrepreneurial team Competitive compensation package What You'll Do Consult with management and relevant stakeholders to define goals for business intelligence Work in a collaborative cross-functional team delivering business-relevant data analytics and insights for brands to support their strategies in merchandising, PPC, CRM, influencer marketing, and others Own and manage the data landscape for use in our reporting, including sales data, marketing spend (for various e-commerce companies) Oversee development of dashboards and report creation Support users in using dashboards and reports Review and validate data and maintain data sources Communicate insights to senior management and across the organization Analyze and synthesize data; report back findings with recommendations Oversee team of analysts Who You Are You have multiple years of professional experience as a Data Scientist. Ideal candidates come from rigorous fields like management consulting and investment banking You have a Master's degree or above in a relevant field like Economics, Engineering, Computer Science, Machine Learning, Artificial Intelligence, or others Experience programming for data analysis Extreme rigor when it comes to solving problems and data analysis Able to handle large amounts of data Strong attention to detail Fluent English speaker Excellent communication skills Able to work in a fast-paced environment
05/02/2025
Full time
At Peak21, we specialize in acquiring large direct-to-consumer (D2C) brands across the United States, Europe, and Asia, in addition to incubating our own. With a portfolio of D2C brands generating $200 million in sales, all bootstrapped and profitable, we are dedicated to fostering growth and innovation in the D2C sector. We are currently seeking a Data Scientist to join our dynamic team. This position is full time in our London office. What makes this an exciting opportunity? Opportunity to join a well-funded startup with top-tier investors Work with a highly experienced and entrepreneurial team Competitive compensation package What You'll Do Consult with management and relevant stakeholders to define goals for business intelligence Work in a collaborative cross-functional team delivering business-relevant data analytics and insights for brands to support their strategies in merchandising, PPC, CRM, influencer marketing, and others Own and manage the data landscape for use in our reporting, including sales data, marketing spend (for various e-commerce companies) Oversee development of dashboards and report creation Support users in using dashboards and reports Review and validate data and maintain data sources Communicate insights to senior management and across the organization Analyze and synthesize data; report back findings with recommendations Oversee team of analysts Who You Are You have multiple years of professional experience as a Data Scientist. Ideal candidates come from rigorous fields like management consulting and investment banking You have a Master's degree or above in a relevant field like Economics, Engineering, Computer Science, Machine Learning, Artificial Intelligence, or others Experience programming for data analysis Extreme rigor when it comes to solving problems and data analysis Able to handle large amounts of data Strong attention to detail Fluent English speaker Excellent communication skills Able to work in a fast-paced environment
Job Title: Machine Learning Engineer Location: London (Hybrid, min. 2 days per week in the office) About Springer Nature Group Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 175 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities - enabling them to improve outcomes, make progress, and benefit the generations that follow. About the Role Springer Nature is seeking a Machine Learning Engineer for its highly-regarded Research Intelligence team, part of the Data and Analytics Solutions group. The group meets the needs of Springer Nature's Research division which includes Nature, Springer, BioMedCentral and Scientific American, as well as developing new data products for the research community via Nature Research Intelligence . This is an exciting opportunity as Data Science and Machine Learning are expanding from strong foundations into new solutions, and we are looking for someone who is able to deliver solutions and work independently, with support from the wider team where necessary . Role Responsibilities: Build machine learning models, tools, and pipelines that support Springer Nature and its customers to advance discovery Implement cutting edge ML and data science solutions in partnership with the wider team Increase the adoption of ML and MLOps, standardise ML practices across the organization, improve model management and reporting, and make data led insight accessible to the business Being an advocate for MLOps, share thought leadership on tools and best practices Leading the journey towards more advanced and predictive analytics using statistical modelling, machine learning and AI Experience, Skills & Qualifications: Essential University degree with a strong analytical/quantitative background or equivalent experience (e.g. Data Science, Statistics, Mathematics, Econometrics, Physics, Computer Science etc.) Strong working knowledge of SQL, Python, and Git Strong knowledge of at least one cloud environment, such as GCP (preferred), AWS or Azure Ability to extract, cleanse and combine data and make sense of it using e.g. SQL, Big Query, Python Strong statistical and machine learning skills and the desire to learn more. Excellent communication skills Demonstrable experience deploying models and pipelines in a cloud environment, such as GCP Demonstrable experience working with embedding models and vector search systems Demonstrable experience of using machine learning to add tangible value in achieving the wider goals and strategy of the business Excellent analytical problem solving capabilities coupled with business acumen Well organized and accurate with good time management Desirable Demonstrable experience with Plotly Dash Demonstrable experience with large language models, including prompt engineering Demonstrable experience working with various stakeholders, such as data scientists, engineers or product managers Demonstrable experience working with scientific publishing data Good networker, able to build up effective relations with internal business partners Springer Nature is a Disability Confident Committed Employer and we encourage applications from candidates with disabilities. If you consider yourself to have a disability or learning difficulty and wish to submit your application in an alternative format or would like to discuss reasonable adjustments during the application and interview process, please get in touch either by phone on (0) or by email so we can make any necessary arrangements. At Springer Nature we value the diversity of our teams. We recognize the many benefits of a diverse workforce with equitable opportunities for everyone. We strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles. Springer Nature was awarded Diversity Team of the Year at the 2022 British Diversity Awards. Find out more about our DEI work here For more information about career opportunities in Springer Nature please visit
05/02/2025
Full time
Job Title: Machine Learning Engineer Location: London (Hybrid, min. 2 days per week in the office) About Springer Nature Group Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 175 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities - enabling them to improve outcomes, make progress, and benefit the generations that follow. About the Role Springer Nature is seeking a Machine Learning Engineer for its highly-regarded Research Intelligence team, part of the Data and Analytics Solutions group. The group meets the needs of Springer Nature's Research division which includes Nature, Springer, BioMedCentral and Scientific American, as well as developing new data products for the research community via Nature Research Intelligence . This is an exciting opportunity as Data Science and Machine Learning are expanding from strong foundations into new solutions, and we are looking for someone who is able to deliver solutions and work independently, with support from the wider team where necessary . Role Responsibilities: Build machine learning models, tools, and pipelines that support Springer Nature and its customers to advance discovery Implement cutting edge ML and data science solutions in partnership with the wider team Increase the adoption of ML and MLOps, standardise ML practices across the organization, improve model management and reporting, and make data led insight accessible to the business Being an advocate for MLOps, share thought leadership on tools and best practices Leading the journey towards more advanced and predictive analytics using statistical modelling, machine learning and AI Experience, Skills & Qualifications: Essential University degree with a strong analytical/quantitative background or equivalent experience (e.g. Data Science, Statistics, Mathematics, Econometrics, Physics, Computer Science etc.) Strong working knowledge of SQL, Python, and Git Strong knowledge of at least one cloud environment, such as GCP (preferred), AWS or Azure Ability to extract, cleanse and combine data and make sense of it using e.g. SQL, Big Query, Python Strong statistical and machine learning skills and the desire to learn more. Excellent communication skills Demonstrable experience deploying models and pipelines in a cloud environment, such as GCP Demonstrable experience working with embedding models and vector search systems Demonstrable experience of using machine learning to add tangible value in achieving the wider goals and strategy of the business Excellent analytical problem solving capabilities coupled with business acumen Well organized and accurate with good time management Desirable Demonstrable experience with Plotly Dash Demonstrable experience with large language models, including prompt engineering Demonstrable experience working with various stakeholders, such as data scientists, engineers or product managers Demonstrable experience working with scientific publishing data Good networker, able to build up effective relations with internal business partners Springer Nature is a Disability Confident Committed Employer and we encourage applications from candidates with disabilities. If you consider yourself to have a disability or learning difficulty and wish to submit your application in an alternative format or would like to discuss reasonable adjustments during the application and interview process, please get in touch either by phone on (0) or by email so we can make any necessary arrangements. At Springer Nature we value the diversity of our teams. We recognize the many benefits of a diverse workforce with equitable opportunities for everyone. We strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles. Springer Nature was awarded Diversity Team of the Year at the 2022 British Diversity Awards. Find out more about our DEI work here For more information about career opportunities in Springer Nature please visit
Data Scientist Lead - Data Strategy - Data Literacy - Machine Learning - Artificial Intelligence My high-end client are looking for a Data Science Lead who will manage a team of high functioning Data Scientists to help with our growth strategy. You will ensure that your team are contributing to both the short- and long-term decision making of the business, as you help to embed the utilisation of data as a product, this could range from building propensity modelling, LTV predictions, incremental testing, segmentation modelling, econometrics in addition to guiding each team member to set ambitious strategies, working towards these in a data driven way. Duties/Responsibilities: Data Science strategy, vision, and roadmap - Support the Head of Data & Insight by defining and communicating the data science strategy, vision, and roadmap. Business requirements and data development through Data Science - Collaborating with business stakeholders and Data Council to gather and document detailed requirements for data science use cases, including defining use cases, acceptance criteria and functional specifications. Managing a team of Data Scientists - Day-to-day management of a team of data science specialists and Helping the team to determine the best route for tackling use cases Improving data literacy across the business - Engage with both technical and non-technical audiences to explain the business value of a data science projects. Project delivery - Required to build innovative and effective approaches to solving analytics problems and communicating clear and relevant results and methodologies to internal stakeholders. Knowledge, Skills and Experience Extensive experience of managing multidisciplinary data teams (including data science, software development, research) Experience of in the field practitioner experience of various analytical methods including Machine Learning & Artificial Intelligence Experience of Business Analytics Experience stakeholder management, including senior leaders, Executives and Board members. Marketing experience, with a track record of achieving growth using data driven reasoning
04/02/2025
Full time
Data Scientist Lead - Data Strategy - Data Literacy - Machine Learning - Artificial Intelligence My high-end client are looking for a Data Science Lead who will manage a team of high functioning Data Scientists to help with our growth strategy. You will ensure that your team are contributing to both the short- and long-term decision making of the business, as you help to embed the utilisation of data as a product, this could range from building propensity modelling, LTV predictions, incremental testing, segmentation modelling, econometrics in addition to guiding each team member to set ambitious strategies, working towards these in a data driven way. Duties/Responsibilities: Data Science strategy, vision, and roadmap - Support the Head of Data & Insight by defining and communicating the data science strategy, vision, and roadmap. Business requirements and data development through Data Science - Collaborating with business stakeholders and Data Council to gather and document detailed requirements for data science use cases, including defining use cases, acceptance criteria and functional specifications. Managing a team of Data Scientists - Day-to-day management of a team of data science specialists and Helping the team to determine the best route for tackling use cases Improving data literacy across the business - Engage with both technical and non-technical audiences to explain the business value of a data science projects. Project delivery - Required to build innovative and effective approaches to solving analytics problems and communicating clear and relevant results and methodologies to internal stakeholders. Knowledge, Skills and Experience Extensive experience of managing multidisciplinary data teams (including data science, software development, research) Experience of in the field practitioner experience of various analytical methods including Machine Learning & Artificial Intelligence Experience of Business Analytics Experience stakeholder management, including senior leaders, Executives and Board members. Marketing experience, with a track record of achieving growth using data driven reasoning
Physics Data Scientist Closing Date: 4th March 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, the successful candidate will spend the majority of their time on site at AWE Aldermaston. Occasional working from home is quite normal for those in this role but there will need to be flexibility around working pattern to meet business requirements. Package: £28,420-£39,500 (depending on your suitability, qualifications, and level of experience) Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Data Scientist within the Systems Assessment Group focused on the Nuclear Threat Reduction mission space . This role is ideally suited to a physicist with a keen focus on Data Science who enjoys working with diverse teams on a wide area including Radiation Detection, Computational Modelling and Machine Learning . Working with extant teams of subject matter experts from a variety of backgrounds the successful candidate will both apply and develop their Data Science skills by addressing real world problems pertaining to nuclear threat reduction. In addition to Nuclear Threat Reduction project work the successful candidate will help provide decision making support for the business through data science analysis and modelling; working in a team of specialists to provide information and insights using their applied data science knowledge. They will further contribute to the future of AWE by understanding and optimising data science processes, analysis and experimental design using appropriate libraries, software and tools developing a deep understanding of the nuclear defence sector. Who are we looking for? We do need you to have the following: A strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. Ability to develop code in languages like R, Python, MATLAB, C++, FORTRAN. Whilst not to be considered a tick list, we'd like you to have experience in some of the following: Experience working with scientific/engineering/academic teams focusing on data science and an understanding of data science best practice. The ability to convey complex and highly technical issues to diverse audiences. Familiarity with common libraries for statistical analysis, data assessment and machine learning and the software development lifecycle. A structured approach to problem solving. You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
04/02/2025
Full time
Physics Data Scientist Closing Date: 4th March 2025 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, the successful candidate will spend the majority of their time on site at AWE Aldermaston. Occasional working from home is quite normal for those in this role but there will need to be flexibility around working pattern to meet business requirements. Package: £28,420-£39,500 (depending on your suitability, qualifications, and level of experience) Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role AWE is currently recruiting for a Data Scientist within the Systems Assessment Group focused on the Nuclear Threat Reduction mission space . This role is ideally suited to a physicist with a keen focus on Data Science who enjoys working with diverse teams on a wide area including Radiation Detection, Computational Modelling and Machine Learning . Working with extant teams of subject matter experts from a variety of backgrounds the successful candidate will both apply and develop their Data Science skills by addressing real world problems pertaining to nuclear threat reduction. In addition to Nuclear Threat Reduction project work the successful candidate will help provide decision making support for the business through data science analysis and modelling; working in a team of specialists to provide information and insights using their applied data science knowledge. They will further contribute to the future of AWE by understanding and optimising data science processes, analysis and experimental design using appropriate libraries, software and tools developing a deep understanding of the nuclear defence sector. Who are we looking for? We do need you to have the following: A strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome. Ability to develop code in languages like R, Python, MATLAB, C++, FORTRAN. Whilst not to be considered a tick list, we'd like you to have experience in some of the following: Experience working with scientific/engineering/academic teams focusing on data science and an understanding of data science best practice. The ability to convey complex and highly technical issues to diverse audiences. Familiarity with common libraries for statistical analysis, data assessment and machine learning and the software development lifecycle. A structured approach to problem solving. You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Requisition ID: R Category: Research and Sciences Location: Cheltenham, Gloucestershire, United Kingdom London, London, United Kingdom Clearance Type: Baseline Personnel Security Standard (BPSS) Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Salary: £64,600. 00 - £96,800 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? Opportunity: This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies. Provide technical leadership for multiple teams of data scientists, ensuring projects are delivered on schedule and to quality. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders. Broker new relationships within the customer organisation and provide added value through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, using customer knowledge to ensure proposals meet their needs. We are looking for: We are particularly interested in candidates with experience in ONE of the following: Neuromorphic Computing, Spiking Neural Networks and event-based event monitoring/sparse data. Advanced statistics and experience operationalising academic research. Security clearance: You must be able to gain and maintain the relevant UK Government security clearance in line with the job role (SC). Why join us? A mission to believe in - Every day we contribute to building a more secure and connected world. A place to belong and thrive - Every voice matters at our table. Your career, your way - Shape your career journey with diverse roles and mentorship opportunities. Ready to apply? Yes - Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information and support. No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
04/02/2025
Full time
Requisition ID: R Category: Research and Sciences Location: Cheltenham, Gloucestershire, United Kingdom London, London, United Kingdom Clearance Type: Baseline Personnel Security Standard (BPSS) Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Salary: £64,600. 00 - £96,800 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? Opportunity: This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies. Provide technical leadership for multiple teams of data scientists, ensuring projects are delivered on schedule and to quality. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders. Broker new relationships within the customer organisation and provide added value through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, using customer knowledge to ensure proposals meet their needs. We are looking for: We are particularly interested in candidates with experience in ONE of the following: Neuromorphic Computing, Spiking Neural Networks and event-based event monitoring/sparse data. Advanced statistics and experience operationalising academic research. Security clearance: You must be able to gain and maintain the relevant UK Government security clearance in line with the job role (SC). Why join us? A mission to believe in - Every day we contribute to building a more secure and connected world. A place to belong and thrive - Every voice matters at our table. Your career, your way - Shape your career journey with diverse roles and mentorship opportunities. Ready to apply? Yes - Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information and support. No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
ABOUT DESCARTES UNDERWRITING Descartes was born out of the conviction that the ever-increasing complexity of risks faced by corporations, governments and vulnerable communities calls for a renewed approach in insurance. Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, ) and scientists on top of their field to bring underwriting excellence. After 6 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full stack' insurer licensed to underwrite risk by the French regulator ACPR. With a growing corporate client base (400+ and counting), our diverse team is headquartered in Paris and operates out of our 18 global offices in North America, Europe, Australia, Singapore, Hong Kong and Japan. Descartes is trusted by a panel of A-rated (re)insurers to carry out its activities. ABOUT YOUR ROLE Descartes Underwriting is seeking a Senior Data Scientist to join our Underwriting Team based in London . Reporting to the Underwriting Manager, you will be a key contributor to the development of climate models or forecasting tools in close and effective cooperation with all business units. Your key missions will include: Individual contribution in Underwriting projects Improve and develop new algorithms, new risk models and products for our B2B clients; Conduct structuring work, risk analysis and insurance proposals for worldwide public sector and corporate clients; Collaborate with the business team and brokers to understand client needs and risk transfer challenges to successfully underwrite new business and renew accounts; Operate in the London market, leading discussions and projects with brokers and partners. Technical & Business Leadership Be a referent for junior Underwriting Data Scientists and provide them guidance on technical modeling matters & business requirements; Participate in the development of Descartes' technological platform to differentiate Descartes from its competitors (nat cat models and pricing tools); Collaborate with various divisions of Descartes technical teams (R&D Modellers, Data & Innovation team, Risk Management). ABOUT YOU EXPERIENCE & QUALIFICATIONS Graduated from a Business or Engineering school/academic institution with a specialization in data science, computer science, applied mathematics, climate and meteorological studies or related; Minimum of 4 years of significant experience (post-graduation) in data science or related fields; Proven track record of significant experience in leading a (small) team and managing business projects; Prior experience in structuring, pricing & underwriting (parametric) insurance covers for climate risks is a plus. SKILLS Proficiency in Python (e.g. pandas, scikit-learn); Proficiency in statistics, probabilities, applied mathematics and machine learning methods; Eye for quality, autonomous and attention to detail; Fluency in English (written and verbal communication) is required; Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish ) is valued. MINDSET Interested in the insurance industry and emerging risks modeling (climate); Strong team spirit and ability to work under pressure; Eagerness to solve complex problems and technical challenges; Rigorous, creative and meticulous mind; Strong desire to learn and acquire responsibility; Results oriented with the ability to work in a fast-paced and multi-cultural environment. WHY JOIN DESCARTES UNDERWRITING ? Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence; Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.); Work in a collaborative & professional environment; Be part of an international team, passionate about diversity; Join a company with a true purpose - help us help our clients be more resilient towards climate risks; A competitive salary, bonus, and benefits. At Descartes Underwriting, we cherish the value of diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences. With equal skills, all our positions are open to people with disabilities. RECRUITMENT PROCESS Step 1: Call and HR Interview with our Talent Recruiter Step 2: Technical online test Step 3: In-person or remote manager interview Step 4: In-person team interview to meet our team and discover our offices
04/02/2025
Full time
ABOUT DESCARTES UNDERWRITING Descartes was born out of the conviction that the ever-increasing complexity of risks faced by corporations, governments and vulnerable communities calls for a renewed approach in insurance. Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, ) and scientists on top of their field to bring underwriting excellence. After 6 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full stack' insurer licensed to underwrite risk by the French regulator ACPR. With a growing corporate client base (400+ and counting), our diverse team is headquartered in Paris and operates out of our 18 global offices in North America, Europe, Australia, Singapore, Hong Kong and Japan. Descartes is trusted by a panel of A-rated (re)insurers to carry out its activities. ABOUT YOUR ROLE Descartes Underwriting is seeking a Senior Data Scientist to join our Underwriting Team based in London . Reporting to the Underwriting Manager, you will be a key contributor to the development of climate models or forecasting tools in close and effective cooperation with all business units. Your key missions will include: Individual contribution in Underwriting projects Improve and develop new algorithms, new risk models and products for our B2B clients; Conduct structuring work, risk analysis and insurance proposals for worldwide public sector and corporate clients; Collaborate with the business team and brokers to understand client needs and risk transfer challenges to successfully underwrite new business and renew accounts; Operate in the London market, leading discussions and projects with brokers and partners. Technical & Business Leadership Be a referent for junior Underwriting Data Scientists and provide them guidance on technical modeling matters & business requirements; Participate in the development of Descartes' technological platform to differentiate Descartes from its competitors (nat cat models and pricing tools); Collaborate with various divisions of Descartes technical teams (R&D Modellers, Data & Innovation team, Risk Management). ABOUT YOU EXPERIENCE & QUALIFICATIONS Graduated from a Business or Engineering school/academic institution with a specialization in data science, computer science, applied mathematics, climate and meteorological studies or related; Minimum of 4 years of significant experience (post-graduation) in data science or related fields; Proven track record of significant experience in leading a (small) team and managing business projects; Prior experience in structuring, pricing & underwriting (parametric) insurance covers for climate risks is a plus. SKILLS Proficiency in Python (e.g. pandas, scikit-learn); Proficiency in statistics, probabilities, applied mathematics and machine learning methods; Eye for quality, autonomous and attention to detail; Fluency in English (written and verbal communication) is required; Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish ) is valued. MINDSET Interested in the insurance industry and emerging risks modeling (climate); Strong team spirit and ability to work under pressure; Eagerness to solve complex problems and technical challenges; Rigorous, creative and meticulous mind; Strong desire to learn and acquire responsibility; Results oriented with the ability to work in a fast-paced and multi-cultural environment. WHY JOIN DESCARTES UNDERWRITING ? Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence; Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.); Work in a collaborative & professional environment; Be part of an international team, passionate about diversity; Join a company with a true purpose - help us help our clients be more resilient towards climate risks; A competitive salary, bonus, and benefits. At Descartes Underwriting, we cherish the value of diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences. With equal skills, all our positions are open to people with disabilities. RECRUITMENT PROCESS Step 1: Call and HR Interview with our Talent Recruiter Step 2: Technical online test Step 3: In-person or remote manager interview Step 4: In-person team interview to meet our team and discover our offices
Requisition ID: R Category: Research and Sciences Location: Cheltenham, Gloucestershire, United Kingdom London, London, United Kingdom Clearance Type: Highest Level of Government Clearance Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Salary: 64,600.00 - 96,800.00 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? Opportunity: This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies. Provide technical leadership for multiple teams of data scientists, ensuring projects are delivered on schedule and to quality. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders. Broker new relationships within the customer organisation, providing added value through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, ensuring proposals meet customer needs. Benefits: We offer a range of flexible and hybrid working options, including optional compressed working schedules. Our benefits include private health care, career development opportunities, and performance bonuses. We are looking for: Champion innovation and best practices in data science and machine learning. Communicate with senior stakeholders and demonstrate the business benefits of data science. Exhibit a breadth of understanding across data science and machine learning. Work with data engineers and customers to support data feeds for data science solutions. Design, code, test, correct and document moderate-to-complex programs and scripts. Experience in geographical information systems and predictive analysis is a bonus. Security clearance: You must already hold the highest level of UK Government security clearance. Why join us? A mission to believe in - We contribute to building a more secure and connected world. A place to belong and thrive - Every voice matters, and we support an inclusive community. Your career, your way - Shape your career journey with diverse roles and development opportunities. Ready to apply? Yes - Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information. No, I don't think this role is right for me - Our extensive UK growth means we have exciting new opportunities opening all the time. Northrop Grumman is committed to hiring and retaining a diverse workforce, encouraging individuals from all backgrounds to apply.
04/02/2025
Full time
Requisition ID: R Category: Research and Sciences Location: Cheltenham, Gloucestershire, United Kingdom London, London, United Kingdom Clearance Type: Highest Level of Government Clearance Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Salary: 64,600.00 - 96,800.00 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? Opportunity: This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies. Provide technical leadership for multiple teams of data scientists, ensuring projects are delivered on schedule and to quality. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders. Broker new relationships within the customer organisation, providing added value through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, ensuring proposals meet customer needs. Benefits: We offer a range of flexible and hybrid working options, including optional compressed working schedules. Our benefits include private health care, career development opportunities, and performance bonuses. We are looking for: Champion innovation and best practices in data science and machine learning. Communicate with senior stakeholders and demonstrate the business benefits of data science. Exhibit a breadth of understanding across data science and machine learning. Work with data engineers and customers to support data feeds for data science solutions. Design, code, test, correct and document moderate-to-complex programs and scripts. Experience in geographical information systems and predictive analysis is a bonus. Security clearance: You must already hold the highest level of UK Government security clearance. Why join us? A mission to believe in - We contribute to building a more secure and connected world. A place to belong and thrive - Every voice matters, and we support an inclusive community. Your career, your way - Shape your career journey with diverse roles and development opportunities. Ready to apply? Yes - Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information. No, I don't think this role is right for me - Our extensive UK growth means we have exciting new opportunities opening all the time. Northrop Grumman is committed to hiring and retaining a diverse workforce, encouraging individuals from all backgrounds to apply.
Senior Data Scientist Location: London What is VEED.IO At VEED, our mission is to make video creation accessible to anyone. No hard-to-use equipment, painful learning curve, or keeping track of multiple subscriptions to take your ideas from record share. With VEED, you can do this with a single tool. In just a few years, we've gone from one user to millions. From no revenue to $30M+ ARR. From bootstrapped to backed by Sequoia , one of the biggest VC firms in the world. From a team of two to a team of 180+. And we're seeking more talented, motivated and entrepreneurial individuals to join our growing team. Where And How We Work At VEED we are hybrid, enabling teams and individuals to design their day and integrate work and life. We require 1 day a week in office for London and Amsterdam-based employees and you have flexibility to decide which day. About the team The Data organization at VEED are stewards for organizational knowledge. We are accountable for ensuring data provides value to internal staff and customers through data driven products, analytics, and processes and platforms. Our vision for data is to inspire and create a data driven culture at VEED. We recognise that data, analytics, or reports are never the purpose. They are tools that aid the deepening of understanding. About the role Here at VEED, we're constantly tackling complex problems to keep building our product in a way that our users love. As a Senior Data Scientist at VEED, you'll work closely with the Product, Data and Business Operations & Strategy team, to leverage data to help us solve some of the biggest strategic projects and questions in our business. For example: How changing our pricing structure will impact MRR and Retention? What customer segments or personas do we have in each of our plans? What is the best metric we should track for product experiment X? What main KPI drivers and levers do we have for Retention and Churn? How can we leverage our financial data to build a detailed dashboard to help the whole company understand what's going on? You'll sit at the intersection of data & analytics, product, and finance to help us make sense of these critical questions. And you will have great scope to take your career at VEED in whichever way you are most excited! What you will do Reports: Detailed reports that provide in-depth analysis of specific business problems, trends, and opportunities. Development and deployment of predictive models that forecast future trends, customer behaviours, and business outcomes. Custom machine learning algorithms tailored to address specific business challenges, such as recommendation systems, fraud detection, or customer segmentation. Efficient data pipelines that automate the extraction, transformation, and loading (ETL) of data from various sources into a centralised data repository. Cleaned and preprocessed datasets that are ready for analysis, ensuring high data quality and reliability. EDA reports that uncover hidden patterns, correlations, and insights within the data, often presented with visualisations. Analyses that quantify the impact of data science initiatives on business metrics, demonstrating ROI and value. Design and analysis of A/B tests to validate the effectiveness of changes in products, features, or marketing strategies. Comprehensive documentation of methodologies, models, code, and data workflows to ensure reproducibility and knowledge sharing. Clear and compelling presentations that communicate complex data insights and findings to non-technical stakeholders. Automated reporting systems that provide regular updates on key metrics and insights without manual intervention. Optimization models and solutions that improve business processes, resource allocation, and operational efficiency. Training sessions and workshops to upskill team members and promote data literacy within the organisation. Detailed analyses that provide deep insights into customer behaviours, preferences, and lifetime value. Systems to detect and alert on anomalies in business operations, helping to mitigate risks and address issues promptly. Promote a data-driven culture and fluency across the company here at VEED! About You Previous experience in a data science role, delivering insightful and actionable solutions. You probably have 3-5 years of experience, but this isn't set in stone! Strong statistical background / education in a quantitative discipline. We use BigQuery, Fivetran, Amplitude, Metabase, hex and dbt amongst other things for our data stack, so experience here would be beneficial, however, experience in similar tools (if not these ones) is a must-have Being a Python guru is a must-have. We'd be really excited if you knew SQL and a bit of devops too. A good understanding and experience running and interpreting A/B testing Thorough knowledge of data models and algorithms - you'll own the process of determining the impact of experiments on our KPIs A track record of success - either demonstrated through promotions at work or through other activities! Possess strategic thinking skills to identify market trends, competitive landscapes, and opportunities for product innovation Highly detail-oriented with a passion for problem-solving - and a bias for taking action Strong communication, interpersonal and presentation skills (both written and verbal) What we offer Monthly subsidy programme: Different people have different needs and therefore value different benefits. Providing this as a subsidy allows you to have the greatest flexibility to apply to what you value most - whether that be to offset the cost of a co-working space, office furniture, childcare, gym membership, etc. Unlimited paid holidays: We value that you get more time with your family and friends. Home office set-up: We have an IT Equipment program to make sure your home office is adequately setup with IT equipment including laptops, monitors, headsets/earbuds, keyboards and more! Mental health benefit : We've partnered with Spill to provide all our employees with confidential mental health support.
04/02/2025
Full time
Senior Data Scientist Location: London What is VEED.IO At VEED, our mission is to make video creation accessible to anyone. No hard-to-use equipment, painful learning curve, or keeping track of multiple subscriptions to take your ideas from record share. With VEED, you can do this with a single tool. In just a few years, we've gone from one user to millions. From no revenue to $30M+ ARR. From bootstrapped to backed by Sequoia , one of the biggest VC firms in the world. From a team of two to a team of 180+. And we're seeking more talented, motivated and entrepreneurial individuals to join our growing team. Where And How We Work At VEED we are hybrid, enabling teams and individuals to design their day and integrate work and life. We require 1 day a week in office for London and Amsterdam-based employees and you have flexibility to decide which day. About the team The Data organization at VEED are stewards for organizational knowledge. We are accountable for ensuring data provides value to internal staff and customers through data driven products, analytics, and processes and platforms. Our vision for data is to inspire and create a data driven culture at VEED. We recognise that data, analytics, or reports are never the purpose. They are tools that aid the deepening of understanding. About the role Here at VEED, we're constantly tackling complex problems to keep building our product in a way that our users love. As a Senior Data Scientist at VEED, you'll work closely with the Product, Data and Business Operations & Strategy team, to leverage data to help us solve some of the biggest strategic projects and questions in our business. For example: How changing our pricing structure will impact MRR and Retention? What customer segments or personas do we have in each of our plans? What is the best metric we should track for product experiment X? What main KPI drivers and levers do we have for Retention and Churn? How can we leverage our financial data to build a detailed dashboard to help the whole company understand what's going on? You'll sit at the intersection of data & analytics, product, and finance to help us make sense of these critical questions. And you will have great scope to take your career at VEED in whichever way you are most excited! What you will do Reports: Detailed reports that provide in-depth analysis of specific business problems, trends, and opportunities. Development and deployment of predictive models that forecast future trends, customer behaviours, and business outcomes. Custom machine learning algorithms tailored to address specific business challenges, such as recommendation systems, fraud detection, or customer segmentation. Efficient data pipelines that automate the extraction, transformation, and loading (ETL) of data from various sources into a centralised data repository. Cleaned and preprocessed datasets that are ready for analysis, ensuring high data quality and reliability. EDA reports that uncover hidden patterns, correlations, and insights within the data, often presented with visualisations. Analyses that quantify the impact of data science initiatives on business metrics, demonstrating ROI and value. Design and analysis of A/B tests to validate the effectiveness of changes in products, features, or marketing strategies. Comprehensive documentation of methodologies, models, code, and data workflows to ensure reproducibility and knowledge sharing. Clear and compelling presentations that communicate complex data insights and findings to non-technical stakeholders. Automated reporting systems that provide regular updates on key metrics and insights without manual intervention. Optimization models and solutions that improve business processes, resource allocation, and operational efficiency. Training sessions and workshops to upskill team members and promote data literacy within the organisation. Detailed analyses that provide deep insights into customer behaviours, preferences, and lifetime value. Systems to detect and alert on anomalies in business operations, helping to mitigate risks and address issues promptly. Promote a data-driven culture and fluency across the company here at VEED! About You Previous experience in a data science role, delivering insightful and actionable solutions. You probably have 3-5 years of experience, but this isn't set in stone! Strong statistical background / education in a quantitative discipline. We use BigQuery, Fivetran, Amplitude, Metabase, hex and dbt amongst other things for our data stack, so experience here would be beneficial, however, experience in similar tools (if not these ones) is a must-have Being a Python guru is a must-have. We'd be really excited if you knew SQL and a bit of devops too. A good understanding and experience running and interpreting A/B testing Thorough knowledge of data models and algorithms - you'll own the process of determining the impact of experiments on our KPIs A track record of success - either demonstrated through promotions at work or through other activities! Possess strategic thinking skills to identify market trends, competitive landscapes, and opportunities for product innovation Highly detail-oriented with a passion for problem-solving - and a bias for taking action Strong communication, interpersonal and presentation skills (both written and verbal) What we offer Monthly subsidy programme: Different people have different needs and therefore value different benefits. Providing this as a subsidy allows you to have the greatest flexibility to apply to what you value most - whether that be to offset the cost of a co-working space, office furniture, childcare, gym membership, etc. Unlimited paid holidays: We value that you get more time with your family and friends. Home office set-up: We have an IT Equipment program to make sure your home office is adequately setup with IT equipment including laptops, monitors, headsets/earbuds, keyboards and more! Mental health benefit : We've partnered with Spill to provide all our employees with confidential mental health support.
Vesynta Vesynta is an investor-backed precision medicine company based within the London Cancer Hub. We are building clinical decision support software that personalises dosing of critical therapies at the point of care which provide clinicians with access to data-backed pharmacology models; resulting in fewer toxic side effects, and significantly improved treatment efficacy. We exist to support patients (children, but also women and those with diverse ethnic heritages) who have been traditionally under-represented and poorly served by traditional, coarse dosing methodologies. Our team is fast-paced, results-oriented, and mission-driven. The Job Drive the development of impactful healthcare solutions as our Lead Back-End Software Engineer. You'll architect, build, and scale our core platform in collaboration with our talented frontend and pharmacology/data science teams. You'll own the back-end architecture, ensuring its robustness, security, and performance. This is a high-impact role where you'll directly contribute to improving the lives of children undergoing cancer treatment by enabling personalised dosing. You will: Design and develop high-quality, maintainable backend code using Python/Django. Architect and evolve our backend, ensuring its robustness, security, and scalability. Implement and manage CI/CD pipelines for secure and efficient deployments. Mentor junior developers, fostering a collaborative and high-performing team. Collaborate with cross-functional teams, translating product requirements into technical solutions. Interface directly with the CTO and product owner, guiding technical strategy and translating requirements into actionable technical plans and deliverables. A full role specification is available upon request via email: (ref. VS-005393-HR). The Products Our web, mobile and Electronic Health Record-integrated applications offer best-in-class actionable precision dosing insights to healthcare professionals, supporting the end-to-end process of Therapeutic Drug Monitoring and Model Informed Precision Dosing. With these, the primary users (hospital-based clinicians, pharmacists and nurses) are able to provide patients with enhanced and personalised care across several therapeutic areas including antibiotics, chemotherapeutics and immunosuppressants. Essential 5+ years of backend web application development experience, with a proven track record of designing, building, and deploying production-grade applications in cloud environments. Expert-level Python and Django skills, including Django REST Framework. Deep understanding of PostgreSQL and SQL, including database design, optimization, and schema management. Experience designing, developing, and maintaining RESTful and WebSocket APIs. Experience with cloud platforms (AWS, Azure, or GCP), including database deployment and cloud-native architectures. Practical knowledge of security best practices (authentication, authorization, encryption) for handling sensitive user data. Experience implementing and managing CI/CD pipelines. Willingness to work from our London HQ 1-3 days per week (hybrid model). Desirable Experience integrating with prominent Electronic Healthcare Record systems (specifically EPIC or Oracle Cerner), and FHIR HL7 standards for healthcare data exchange. Infrastructure as Code (IaC) tools Message queues. Load balancing. Experience working alongside data scientists/engineers (working in R). SaaS application deployment, performance tuning and optimization. If you're passionate about our mission and confident you can make a significant contribution, we encourage you to apply (even if you don't perfectly match every requirement). While this posting is for a Lead Back-End Engineer, we may, on occasion, identify exceptional candidates who are a strong fit for our team but whose experience aligns more closely with a different role. In such cases, we may discuss alternative opportunities within Vesynta. Our recruitment process Our recruitment process takes around 2-3 weeks end-to-end. You will have multiple opportunities to meet key team members, discover more about the role. The stages are as follows: Application (CV and screening questions). Coding assessment (HackerRank). Introductory video call. Technical interview (online). Team interview (video call). Final assessment (online, with a take-home assignment). How we work with recruiters We value the expertise of recruiters and welcome you to submit relevant candidates. Please send anonymised CVs to - all submitted CVs will be reviewed as part of our applicant pool. We are managing this search internally and are not currently considering exclusive agreements or upfront retainer arrangements. However, we are willing to pay fees upon successful placement of a candidate. Benefits Impact: Opportunity to create, and deliver real-world impact for children who are critically ill. Flexibility: Hybrid and flexible working policy, where team well-being and quality of work are prioritised. Growth: Opportunities for professional development, mentorship, open-source contributions, and shaping our technical direction. Compensation: Competitive salary, 30 days annual leave, subsidised private health insurance, salary sacrifice schemes (home tech., bicycles, electric cars), stock options and more. Support and Culture: Independent HR, TOIL provision, Employee Assistance Programme (ensuring personal and professional well-being), NEST workplace pension, structured parental leave packages, family-friendly working arrangements and inclusive company socials. Visa Sponsorship: Vesynta is a UK approved VISA sponsor.
04/02/2025
Full time
Vesynta Vesynta is an investor-backed precision medicine company based within the London Cancer Hub. We are building clinical decision support software that personalises dosing of critical therapies at the point of care which provide clinicians with access to data-backed pharmacology models; resulting in fewer toxic side effects, and significantly improved treatment efficacy. We exist to support patients (children, but also women and those with diverse ethnic heritages) who have been traditionally under-represented and poorly served by traditional, coarse dosing methodologies. Our team is fast-paced, results-oriented, and mission-driven. The Job Drive the development of impactful healthcare solutions as our Lead Back-End Software Engineer. You'll architect, build, and scale our core platform in collaboration with our talented frontend and pharmacology/data science teams. You'll own the back-end architecture, ensuring its robustness, security, and performance. This is a high-impact role where you'll directly contribute to improving the lives of children undergoing cancer treatment by enabling personalised dosing. You will: Design and develop high-quality, maintainable backend code using Python/Django. Architect and evolve our backend, ensuring its robustness, security, and scalability. Implement and manage CI/CD pipelines for secure and efficient deployments. Mentor junior developers, fostering a collaborative and high-performing team. Collaborate with cross-functional teams, translating product requirements into technical solutions. Interface directly with the CTO and product owner, guiding technical strategy and translating requirements into actionable technical plans and deliverables. A full role specification is available upon request via email: (ref. VS-005393-HR). The Products Our web, mobile and Electronic Health Record-integrated applications offer best-in-class actionable precision dosing insights to healthcare professionals, supporting the end-to-end process of Therapeutic Drug Monitoring and Model Informed Precision Dosing. With these, the primary users (hospital-based clinicians, pharmacists and nurses) are able to provide patients with enhanced and personalised care across several therapeutic areas including antibiotics, chemotherapeutics and immunosuppressants. Essential 5+ years of backend web application development experience, with a proven track record of designing, building, and deploying production-grade applications in cloud environments. Expert-level Python and Django skills, including Django REST Framework. Deep understanding of PostgreSQL and SQL, including database design, optimization, and schema management. Experience designing, developing, and maintaining RESTful and WebSocket APIs. Experience with cloud platforms (AWS, Azure, or GCP), including database deployment and cloud-native architectures. Practical knowledge of security best practices (authentication, authorization, encryption) for handling sensitive user data. Experience implementing and managing CI/CD pipelines. Willingness to work from our London HQ 1-3 days per week (hybrid model). Desirable Experience integrating with prominent Electronic Healthcare Record systems (specifically EPIC or Oracle Cerner), and FHIR HL7 standards for healthcare data exchange. Infrastructure as Code (IaC) tools Message queues. Load balancing. Experience working alongside data scientists/engineers (working in R). SaaS application deployment, performance tuning and optimization. If you're passionate about our mission and confident you can make a significant contribution, we encourage you to apply (even if you don't perfectly match every requirement). While this posting is for a Lead Back-End Engineer, we may, on occasion, identify exceptional candidates who are a strong fit for our team but whose experience aligns more closely with a different role. In such cases, we may discuss alternative opportunities within Vesynta. Our recruitment process Our recruitment process takes around 2-3 weeks end-to-end. You will have multiple opportunities to meet key team members, discover more about the role. The stages are as follows: Application (CV and screening questions). Coding assessment (HackerRank). Introductory video call. Technical interview (online). Team interview (video call). Final assessment (online, with a take-home assignment). How we work with recruiters We value the expertise of recruiters and welcome you to submit relevant candidates. Please send anonymised CVs to - all submitted CVs will be reviewed as part of our applicant pool. We are managing this search internally and are not currently considering exclusive agreements or upfront retainer arrangements. However, we are willing to pay fees upon successful placement of a candidate. Benefits Impact: Opportunity to create, and deliver real-world impact for children who are critically ill. Flexibility: Hybrid and flexible working policy, where team well-being and quality of work are prioritised. Growth: Opportunities for professional development, mentorship, open-source contributions, and shaping our technical direction. Compensation: Competitive salary, 30 days annual leave, subsidised private health insurance, salary sacrifice schemes (home tech., bicycles, electric cars), stock options and more. Support and Culture: Independent HR, TOIL provision, Employee Assistance Programme (ensuring personal and professional well-being), NEST workplace pension, structured parental leave packages, family-friendly working arrangements and inclusive company socials. Visa Sponsorship: Vesynta is a UK approved VISA sponsor.
My client, an innovative Sports Analytics company in London, is seeking an exceptional Senior Data Scientist, with experience in the sports/betting domain. The Senior Data Scientist must have proven expertise in sports modelling to lead projects that improve my client's current production models while developing new markets for a range of different sports. The Senior Data Scientist will lead the development of models and supervise ad hoc analysis using a variety of data sources to solve tasks relevant to the business. These tasks include supporting the development of existing and/or new sports forecasting products. The ideal candidate must have: Experience in the sports betting/analytics industry in a quantitative or data science role Significant experience and a passion for statistical modelling for sports such as NBA and MLB (Ideally) Advanced knowledge of statistical modelling and machine learning, with relevant experience in the use of Python libraries e.g. scikit-learn, xgboost, tensorflow, pymc3, statsmodels (and R equivalents) Experience generating reports, dashboards and data visualisations SQL experience as well as experience working with relational databases Excellent presentation, documentation, time management, and communication skills with the ability to work collaboratively and autonomously across multiple teams. Please apply if you have the above skill-set.
04/02/2025
Full time
My client, an innovative Sports Analytics company in London, is seeking an exceptional Senior Data Scientist, with experience in the sports/betting domain. The Senior Data Scientist must have proven expertise in sports modelling to lead projects that improve my client's current production models while developing new markets for a range of different sports. The Senior Data Scientist will lead the development of models and supervise ad hoc analysis using a variety of data sources to solve tasks relevant to the business. These tasks include supporting the development of existing and/or new sports forecasting products. The ideal candidate must have: Experience in the sports betting/analytics industry in a quantitative or data science role Significant experience and a passion for statistical modelling for sports such as NBA and MLB (Ideally) Advanced knowledge of statistical modelling and machine learning, with relevant experience in the use of Python libraries e.g. scikit-learn, xgboost, tensorflow, pymc3, statsmodels (and R equivalents) Experience generating reports, dashboards and data visualisations SQL experience as well as experience working with relational databases Excellent presentation, documentation, time management, and communication skills with the ability to work collaboratively and autonomously across multiple teams. Please apply if you have the above skill-set.
Data Scientist Warton(Near Preston) Hybrid working 45,000- 55,000+ Benefits My client are a multinational Aerospace & defence organisation. They are looking for an experienced Data Scientist to join their team working on a hybrid basis. What you'll be doing: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions Building scalable machine learning pipelines and combining feature engineering with optimisation methods to improve the data product performance Exploring ways of using new data science tools and techniques to address business and organisational challenges Sharing data science practices across all departments, promoting professional development and use of best practice across all capabilities identified for data scientists Applying data science techniques to present, communicate and disseminate data science products effectively, appropriately and with high impact Working with technologists to design, create, test and document data products with agreed software development standards, including security, accessibility and version control Contributing to decision-making throughout the product life cycle by using data sources, analytical techniques and tools Your skills and experiences: Experience using data tools such as Python, MATLAB, Kubernetes and TensorFlow Hold a mathematical background with a strong understanding of statistical data Inquiring mindset with the ability to translate data sets to customers To apply for this role please send your cv to Peter Bibby on the email address below
04/02/2025
Full time
Data Scientist Warton(Near Preston) Hybrid working 45,000- 55,000+ Benefits My client are a multinational Aerospace & defence organisation. They are looking for an experienced Data Scientist to join their team working on a hybrid basis. What you'll be doing: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions Building scalable machine learning pipelines and combining feature engineering with optimisation methods to improve the data product performance Exploring ways of using new data science tools and techniques to address business and organisational challenges Sharing data science practices across all departments, promoting professional development and use of best practice across all capabilities identified for data scientists Applying data science techniques to present, communicate and disseminate data science products effectively, appropriately and with high impact Working with technologists to design, create, test and document data products with agreed software development standards, including security, accessibility and version control Contributing to decision-making throughout the product life cycle by using data sources, analytical techniques and tools Your skills and experiences: Experience using data tools such as Python, MATLAB, Kubernetes and TensorFlow Hold a mathematical background with a strong understanding of statistical data Inquiring mindset with the ability to translate data sets to customers To apply for this role please send your cv to Peter Bibby on the email address below
About the role At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That's why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support. As a Head of Software Engineering for Machine Learning Engineering, you'll be a significant contributor to the delivery of products in one of Tesco's most strategic technology areas. You'll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You'll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations. As Head of Software Development at Tesco, you hold a senior engineering management role and are the first level at which you manage other managers. About the Team: Within Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco's data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, and develop data products at scale. Our Data Science teams are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimisations, Commercial Decision Support (e.g. Forecasting and Range Optimisation), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimisations through to deployment of solutions on the edge, cloud and big-data environments. You will be responsible for Accountability for delivering impact across teams within a directorate, as well as for effecting and leading change across the wider Technology organisation. Responsibility to lead your team with a clear sense of purpose & vision. Working with Data Scientists, Engineers, and Product teams across the software lifecycle. Hire, retain, and engage engineering managers and senior engineering talent. Promoting a culture of inclusion, autonomy, mastery, and delivery through directing, mentoring, coaching, and facilitation aligned to the broader technology organisation and Tesco values. Ensure all colleagues are supported in their careers, with personal/professional development objectives and through continuous feedback and training. Developing an environment that enables your teams to succeed in delivering and operating quality software, empowering teams to own technical decisions. Sharing knowledge with the wider engineering community. Building an effective execution process to ensure teams have awareness of overarching strategy, enabling them to be responsive during planning, development, and operational issues. Working with key stakeholders to ensure teams deliver business value. Acting decisively when required and being comfortable with managing ambiguity. Driving continuous improvement of engineering practices, efficiency of development, and fostering innovation. Empowering your team of engineers to own technical decisions whilst providing guidance and being responsible for best practices, striving to reduce waste, iterate quickly, and fail fast and forward. Take responsibility to build industry-leading and extensible software in your area of ownership. Lead and drive teams towards the right designs, architectural and programming principles, aligning to Tesco Technology's agreed standards. Evaluate the design and architectural decisions/choices of technical teams, advising on improvements to optimise systems and solutions. Working with key stakeholders, ensuring teams deliver the right value. Contributing to budget planning and forecasting for the Data Science domain. You will need An engineering background with strong knowledge of the Data Science Toolkit (Programming, Machine Learning, MLOps etc.) and bringing data science solutions into production. Key Requirements Include: Experience building and leading engineering teams within a Data Science setting. A higher degree in engineering, computer science, maths, or science. Customer focus with the right balance between outcome delivery and technical excellence. The ability to apply technical skills and know-how to solving real-world business problems. Demonstrable experience of building scalable and resilient systems. Commercial experience contributing to the success of high-impact Data Science projects within complex organisations. Awareness of emerging MLOps practices and tooling would be an advantage (e.g. feature stores and model lifecycle management). An analytical mindset and the ability to tackle specific business problems. Experience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python. Use of version control (Git) and related software lifecycle tooling. Understanding of common data structures and algorithms. Experience working with open-source Data-Science environments. Knowledge of open-source big-data technologies such as Apache Spark. Experience building solutions that run in the cloud, ideally Azure. Experience with software development methodologies including Scrum & Kanban. A background or strong understanding of the retail sector, logistics, and/or e-commerce would be advantageous but is not required. Practical experience with search technologies and recommender systems would be a plus. What's in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here to find out more! Annual bonus scheme of up to 45% of base salary. Car Cash Allowance. Holiday starting at 25 days plus a personal day (plus Bank holidays). Private medical insurance. Retirement savings plan - save between 6% - 10% and Tesco will contribute 1.5 times this amount. 26 weeks maternity and adoption leave (after 1 year's service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay. We also offer 4 weeks fully paid paternity leave. About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities, and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of, and for the planet. Diversity, equity, and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we're a place where Everyone's Welcome . We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here . We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate, and innovate.
03/02/2025
Full time
About the role At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That's why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support. As a Head of Software Engineering for Machine Learning Engineering, you'll be a significant contributor to the delivery of products in one of Tesco's most strategic technology areas. You'll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You'll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations. As Head of Software Development at Tesco, you hold a senior engineering management role and are the first level at which you manage other managers. About the Team: Within Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco's data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, and develop data products at scale. Our Data Science teams are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimisations, Commercial Decision Support (e.g. Forecasting and Range Optimisation), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimisations through to deployment of solutions on the edge, cloud and big-data environments. You will be responsible for Accountability for delivering impact across teams within a directorate, as well as for effecting and leading change across the wider Technology organisation. Responsibility to lead your team with a clear sense of purpose & vision. Working with Data Scientists, Engineers, and Product teams across the software lifecycle. Hire, retain, and engage engineering managers and senior engineering talent. Promoting a culture of inclusion, autonomy, mastery, and delivery through directing, mentoring, coaching, and facilitation aligned to the broader technology organisation and Tesco values. Ensure all colleagues are supported in their careers, with personal/professional development objectives and through continuous feedback and training. Developing an environment that enables your teams to succeed in delivering and operating quality software, empowering teams to own technical decisions. Sharing knowledge with the wider engineering community. Building an effective execution process to ensure teams have awareness of overarching strategy, enabling them to be responsive during planning, development, and operational issues. Working with key stakeholders to ensure teams deliver business value. Acting decisively when required and being comfortable with managing ambiguity. Driving continuous improvement of engineering practices, efficiency of development, and fostering innovation. Empowering your team of engineers to own technical decisions whilst providing guidance and being responsible for best practices, striving to reduce waste, iterate quickly, and fail fast and forward. Take responsibility to build industry-leading and extensible software in your area of ownership. Lead and drive teams towards the right designs, architectural and programming principles, aligning to Tesco Technology's agreed standards. Evaluate the design and architectural decisions/choices of technical teams, advising on improvements to optimise systems and solutions. Working with key stakeholders, ensuring teams deliver the right value. Contributing to budget planning and forecasting for the Data Science domain. You will need An engineering background with strong knowledge of the Data Science Toolkit (Programming, Machine Learning, MLOps etc.) and bringing data science solutions into production. Key Requirements Include: Experience building and leading engineering teams within a Data Science setting. A higher degree in engineering, computer science, maths, or science. Customer focus with the right balance between outcome delivery and technical excellence. The ability to apply technical skills and know-how to solving real-world business problems. Demonstrable experience of building scalable and resilient systems. Commercial experience contributing to the success of high-impact Data Science projects within complex organisations. Awareness of emerging MLOps practices and tooling would be an advantage (e.g. feature stores and model lifecycle management). An analytical mindset and the ability to tackle specific business problems. Experience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python. Use of version control (Git) and related software lifecycle tooling. Understanding of common data structures and algorithms. Experience working with open-source Data-Science environments. Knowledge of open-source big-data technologies such as Apache Spark. Experience building solutions that run in the cloud, ideally Azure. Experience with software development methodologies including Scrum & Kanban. A background or strong understanding of the retail sector, logistics, and/or e-commerce would be advantageous but is not required. Practical experience with search technologies and recommender systems would be a plus. What's in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here to find out more! Annual bonus scheme of up to 45% of base salary. Car Cash Allowance. Holiday starting at 25 days plus a personal day (plus Bank holidays). Private medical insurance. Retirement savings plan - save between 6% - 10% and Tesco will contribute 1.5 times this amount. 26 weeks maternity and adoption leave (after 1 year's service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay. We also offer 4 weeks fully paid paternity leave. About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities, and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of, and for the planet. Diversity, equity, and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we're a place where Everyone's Welcome . We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here . We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate, and innovate.
