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)
Jul 03, 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)
Our client has an exciting opportunity for a Senior Data Scientist to join the team. Location: London, UK (Remote) must be based in the UK as will require occasional travel into the office Salary: £60k - £85k PA (dependant on experience) Job Type: Full-time, Permanent About The Company: Our client is a leading EdTech firm specialising in child digital safety technology for use in primary and secondary schools in the UK. They aim to provide sophisticated advanced child digital safety by monitoring students' online activity, filtering content and providing alerts to school faculty regarding student safety. Senior Data Scientist - The Role: Our client is looking for a Data Scientist to join their Data and AI team working closely with partners across the business to tackle challenging problems and enhance company performance through algorithms, experimentation, and interactive dashboards. As part of the Data and AI team, you will set the standard for data-driven decision-making. You will also have the chance to contribute to innovative research studies and the development of production-grade algorithms benefiting students and educators. Senior Data Scientist - Key Responsibilities: - Take the lead in designing, developing, and refining advanced machine learning models aimed at personalising learning experiences, forecasting student outcomes, and improving the delivery of educational content - Employ statistical analysis and data mining techniques to sift through extensive datasets, extracting actionable insights that drive product development, user engagement strategies, and enhancements to educational content - Collaborate closely with product managers, software engineers, and educational experts to seamlessly integrate data science solutions into the platform -Provide mentorship and guidance to junior data scientists and analysts, fostering a culture of learning and ongoing improvement within the team - Regularly interface with senior management or executive leadership on matters pertaining to data science - Stay abreast of the latest advancements in data science, machine learning, generative AI, and educational technology - Uphold ethical standards in data usage, comply with privacy laws and regulations, and implement robust data governance practices to safeguard sensitive information pertaining to students and educators Senior Data Scientist - You: - 5+ years of data scientist experience - Experience within EdTech or other similar field - Degree or Higher Education qualification in Computer Science or other relevant field - Advanced proficiency in Python and SQL is required - Demonstrated leadership in steering data science initiatives towards impactful outcomes - Proficiency in both written and verbal communication - Strong expertise in traditional statistics and machine learning methodologies - Familiarity with git and cloud computing platforms (such as AWS, GCP, or Azure) is desirable - Previous experience in mentoring and guiding junior to mid-level data scientists would be advantageous Senior Data Scientist - Benefits: - Comprehensive pension scheme - 26 days holiday including an extra day for your birthday plus the option to buy additional days - Company car and expensed travel - Flexible working - Regular company events - Death in service 4 times annual salary - Annual personal learning budget - 7 hours of paid volunteering work Application Process: You must have the right to work in the UK in order to be eligible to apply for this position. This position is predominantly remote based but the role will require occasional travel into the office. To submit your CV for this exciting Senior Data Scientist opportunity, please click 'Apply'
Apr 30, 2024
Full time
Our client has an exciting opportunity for a Senior Data Scientist to join the team. Location: London, UK (Remote) must be based in the UK as will require occasional travel into the office Salary: £60k - £85k PA (dependant on experience) Job Type: Full-time, Permanent About The Company: Our client is a leading EdTech firm specialising in child digital safety technology for use in primary and secondary schools in the UK. They aim to provide sophisticated advanced child digital safety by monitoring students' online activity, filtering content and providing alerts to school faculty regarding student safety. Senior Data Scientist - The Role: Our client is looking for a Data Scientist to join their Data and AI team working closely with partners across the business to tackle challenging problems and enhance company performance through algorithms, experimentation, and interactive dashboards. As part of the Data and AI team, you will set the standard for data-driven decision-making. You will also have the chance to contribute to innovative research studies and the development of production-grade algorithms benefiting students and educators. Senior Data Scientist - Key Responsibilities: - Take the lead in designing, developing, and refining advanced machine learning models aimed at personalising learning experiences, forecasting student outcomes, and improving the delivery of educational content - Employ statistical analysis and data mining techniques to sift through extensive datasets, extracting actionable insights that drive product development, user engagement strategies, and enhancements to educational content - Collaborate closely with product managers, software engineers, and educational experts to seamlessly integrate data science solutions into the platform -Provide mentorship and guidance to junior data scientists and analysts, fostering a culture of learning and ongoing improvement within the team - Regularly interface with senior management or executive leadership on matters pertaining to data science - Stay abreast of the latest advancements in data science, machine learning, generative AI, and educational technology - Uphold ethical standards in data usage, comply with privacy laws and regulations, and implement robust data governance practices to safeguard sensitive information pertaining to students and educators Senior Data Scientist - You: - 5+ years of data scientist experience - Experience within EdTech or other similar field - Degree or Higher Education qualification in Computer Science or other relevant field - Advanced proficiency in Python and SQL is required - Demonstrated leadership in steering data science initiatives towards impactful outcomes - Proficiency in both written and verbal communication - Strong expertise in traditional statistics and machine learning methodologies - Familiarity with git and cloud computing platforms (such as AWS, GCP, or Azure) is desirable - Previous experience in mentoring and guiding junior to mid-level data scientists would be advantageous Senior Data Scientist - Benefits: - Comprehensive pension scheme - 26 days holiday including an extra day for your birthday plus the option to buy additional days - Company car and expensed travel - Flexible working - Regular company events - Death in service 4 times annual salary - Annual personal learning budget - 7 hours of paid volunteering work Application Process: You must have the right to work in the UK in order to be eligible to apply for this position. This position is predominantly remote based but the role will require occasional travel into the office. To submit your CV for this exciting Senior Data Scientist opportunity, please click 'Apply'
Science & Technology Facilities Council (STFC)
Warrington, Cheshire
Technical Relationship Manager Salary:Band F (Stem 2) £59,461 per annum Hours:Full time (We understand the importance of work-life balance, and are happy to discuss flexible working with applicants) Contract Type:Open Ended Location:The Hartree Centre, STFC, Daresbury Laboratory, Warrington Do you have expertise in advanced computing technology and experience of working in public sector procurement?Come and help us advance the kind of computing that got you into technology in the first place. Work with world-leading scientists, engineers, and software specialists.And harness the power of some of the country's most advanced supercomputers to address work that improves daily life in the UK and far beyond. About the Hartree Centre We provide collaborative research, innovation and development services that accelerate the application of high-performance computing (HPC), data analytics and artificial intelligence technologies.By working with us, businesses and research partners can gain a competitive advantage that enables them to produce better outcomes, products, and services more quickly and cheaply than through conventional R&D. UK Research and Innovation recognises and values employees as individuals.We aim to provide a pay and rewards package that motivates staff to perform to the best of their ability. The reward package includes a flexible working scheme, defined benefit pension scheme, 30 days annual leave allowance plus 10.5 bank holiday/privilege days and other benefits. Role Overview The Technical Relationship Manager (TRM) is responsible for handling ongoing technical relationships with suppliers, ensuring delivery of strategic programmes of work that meet the requirements of both parties, managing support contracts, and positively contributing towards the Hartree Centres technical outputs and wider goals. The TRM is also responsible for leading the portfolio of work involved in upgrading Hartree Centre's advanced computing infrastructure. Duties The successful candidate will own the overall relationship with agreed key suppliers. You will provide oversight and governance for work programmes and act as a partner concern point for risks and issues with senior supplier staff. You will ensure the continued operation and support of key research computing infrastructure through effective management of service levels. You will seek opportunities for joint research, revenue generation, and mutually helpful work, sharing these opportunities with appropriate technical and business development staff for scoping and identification of funding sources. Additionally, you will develop technical relationships between Hartree Centre and suppliers; the TRM uses their expertise to understand supplier technology roadmaps and how they mesh with our own, influencing Hartree Centre's plans to design and deliver new research computing infrastructure. Person specification Essential Awareness and understanding of key technical concepts in large-scale advanced computing technologies such as HPC and AI. The ability to correctly identify market trends, and the ability to translate supplier roadmaps into actionable insights. Expertise in public sector procurement standards, legislation and contract management practices. Extensive experience of leading successful technical projects ensuring delivery to agreed specifications, cost, time and quality standards. An understanding of risk management is required. Excellent verbal and written communications skills. You must be comfortable in speaking publicly to audiences of varying sizes; be able to write clear, concise and effective technical reports; and be able to absorb and convey detailed information to/from technical and non-technical audiences. Able to prioritise multiple commitments and requirements and plan efficiently to ensure successful delivery across a portfolio of projects. Demonstrable ability to deal with critical issues and handle risks independently, calling out to senior managers when required. Show high levels of personal drive, determination and resilience. Qualifications Desirable A relevant science degree (or Higher Education qualification) or relevant subject matter and industry experience. PRINCE2 Foundation or APM Project Fundamentals qualification. Join us and discover what's possible! JBRP1_UKTJ
Apr 30, 2024
Full time
Technical Relationship Manager Salary:Band F (Stem 2) £59,461 per annum Hours:Full time (We understand the importance of work-life balance, and are happy to discuss flexible working with applicants) Contract Type:Open Ended Location:The Hartree Centre, STFC, Daresbury Laboratory, Warrington Do you have expertise in advanced computing technology and experience of working in public sector procurement?Come and help us advance the kind of computing that got you into technology in the first place. Work with world-leading scientists, engineers, and software specialists.And harness the power of some of the country's most advanced supercomputers to address work that improves daily life in the UK and far beyond. About the Hartree Centre We provide collaborative research, innovation and development services that accelerate the application of high-performance computing (HPC), data analytics and artificial intelligence technologies.By working with us, businesses and research partners can gain a competitive advantage that enables them to produce better outcomes, products, and services more quickly and cheaply than through conventional R&D. UK Research and Innovation recognises and values employees as individuals.We aim to provide a pay and rewards package that motivates staff to perform to the best of their ability. The reward package includes a flexible working scheme, defined benefit pension scheme, 30 days annual leave allowance plus 10.5 bank holiday/privilege days and other benefits. Role Overview The Technical Relationship Manager (TRM) is responsible for handling ongoing technical relationships with suppliers, ensuring delivery of strategic programmes of work that meet the requirements of both parties, managing support contracts, and positively contributing towards the Hartree Centres technical outputs and wider goals. The TRM is also responsible for leading the portfolio of work involved in upgrading Hartree Centre's advanced computing infrastructure. Duties The successful candidate will own the overall relationship with agreed key suppliers. You will provide oversight and governance for work programmes and act as a partner concern point for risks and issues with senior supplier staff. You will ensure the continued operation and support of key research computing infrastructure through effective management of service levels. You will seek opportunities for joint research, revenue generation, and mutually helpful work, sharing these opportunities with appropriate technical and business development staff for scoping and identification of funding sources. Additionally, you will develop technical relationships between Hartree Centre and suppliers; the TRM uses their expertise to understand supplier technology roadmaps and how they mesh with our own, influencing Hartree Centre's plans to design and deliver new research computing infrastructure. Person specification Essential Awareness and understanding of key technical concepts in large-scale advanced computing technologies such as HPC and AI. The ability to correctly identify market trends, and the ability to translate supplier roadmaps into actionable insights. Expertise in public sector procurement standards, legislation and contract management practices. Extensive experience of leading successful technical projects ensuring delivery to agreed specifications, cost, time and quality standards. An understanding of risk management is required. Excellent verbal and written communications skills. You must be comfortable in speaking publicly to audiences of varying sizes; be able to write clear, concise and effective technical reports; and be able to absorb and convey detailed information to/from technical and non-technical audiences. Able to prioritise multiple commitments and requirements and plan efficiently to ensure successful delivery across a portfolio of projects. Demonstrable ability to deal with critical issues and handle risks independently, calling out to senior managers when required. Show high levels of personal drive, determination and resilience. Qualifications Desirable A relevant science degree (or Higher Education qualification) or relevant subject matter and industry experience. PRINCE2 Foundation or APM Project Fundamentals qualification. Join us and discover what's possible! JBRP1_UKTJ
Intuit's Small Business Group (SBG), serves the needs of small businesses and self-employed through Quickbooks and our ecosystem of attached products. Our mission is to power prosperity around the world, which means dramatically rethinking how we enable small businesses and individuals to run their businesses with confidence. Intuit UK is searching for a talented, hands-on Data Scientist to help deliver data science initiatives across the UK Business. We are an exciting, fast paced, and innovative team, leveraging industry-leading tools and best practices. As a Data Scientist, you will collaborate with cross functional teams to develop ML models and customer facing AI solutions. You will take complex concepts and communicate them to both technical and non-technical leaders in order to effect change for our customers. You will play an instrumental part in shaping the strategy and future of the UK Data Science Program. Working across Intuit AI, Data Engineering, Product and Marketing you will be involved in every step of the modeling process from creating and maintaining model data pipelines to A/B testing the models in production with white space opportunities to drive innovation and personal development. Responsibilities Perform hands-on data analysis and modeling with large data sets Lead experimental designs and measurement plans Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver Advanced in SQL and a statistical programming language such as Python or R 2+ years experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining Expertise in experimental design and Multivariate/A-B testing Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Undergraduate Degree in Quantitative Field, or equivalent experience
Apr 30, 2024
Full time
Intuit's Small Business Group (SBG), serves the needs of small businesses and self-employed through Quickbooks and our ecosystem of attached products. Our mission is to power prosperity around the world, which means dramatically rethinking how we enable small businesses and individuals to run their businesses with confidence. Intuit UK is searching for a talented, hands-on Data Scientist to help deliver data science initiatives across the UK Business. We are an exciting, fast paced, and innovative team, leveraging industry-leading tools and best practices. As a Data Scientist, you will collaborate with cross functional teams to develop ML models and customer facing AI solutions. You will take complex concepts and communicate them to both technical and non-technical leaders in order to effect change for our customers. You will play an instrumental part in shaping the strategy and future of the UK Data Science Program. Working across Intuit AI, Data Engineering, Product and Marketing you will be involved in every step of the modeling process from creating and maintaining model data pipelines to A/B testing the models in production with white space opportunities to drive innovation and personal development. Responsibilities Perform hands-on data analysis and modeling with large data sets Lead experimental designs and measurement plans Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver Advanced in SQL and a statistical programming language such as Python or R 2+ years experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining Expertise in experimental design and Multivariate/A-B testing Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Undergraduate Degree in Quantitative Field, or equivalent experience
Principal AI Engineer, NLP, Large Language Models, Drug Discovery West London - office based 4 days per week Highly competitive salary + BUPA + high Bonus We're looking for an MSc/PhD level AI Engineer/AI Scientist. An Artificial Intelligence/Machine Learning expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The Principal AI Engineer will specialise in NLP/LLMs bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. Responsibilities: • Co-developing and implementing cutting-edge in-house AI capabilities and infrastructure primarily in the domain of NLP and, specifically, LLMs to support drug discovery • Responsibility for software and data engineering projects and development/maintenance of computational platform infrastructure to support AI-driven drug discovery • Review and development of existing platform engineering solutions to support bioinformaticians, computational and discovery biologists, oligonucleotide chemists and business analysts You will need: • MSc/PhD and ideally 4+ years post-doctoral or similar experience, in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models • Experience in Network Science and modern statistical methods would be a plus • Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment • Strong interpersonal skills which support team cohesion while being able to provide direct and constructive feedback and solutions • Well-developed communication skills with demonstrated ability to communicate effectively both in writing (reports, publications in scientific journals, etc) and via oral presentations • Ability to think critically and demonstrate troubleshooting and problem-solving skills • Experience of collaborative projects with other biopharma partners would be an advantage Knowledge/experience - will include several of: • The application of AI/ML approaches to problems in the Life Sciences • NLP and Large Language Models eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. • Tools, techniques, and processes of modern software development, e.g. version control, CI/CD, DevOps, and DataOps • Cloud native technologies and approaches such as Docker and Kubernetes • Cloud computing environments with a preference for AWS • UX/UI design and deployment an advantage • Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications • Data management techniques for large-scale scientific data sets • High level programming skills in a number of modern programming languages such as Java, C/C++, R and Python • SOA NLP APIs and Machine Learning / Deep Learning frameworks • Translating user requirements into workflow designs/specifications • Building and optimising data processing pipelines e.g. Nextflow/Nextflow Tower, SQL/NoSQL • Experience with graph databases is highly desirable You will be joining a stunning, world class, tech team of problem solvers. Some of the wider benefits: BUPA for self + partner/family Discretionary bonus 10% employer pension contribution Principal AI Scientist Principal AI Engineer Machine Learning Engineer NLP Engineer Job Types: Full-time, Permanent Pay: £73,685.00-£100,767.00 per year Benefits: • Company pension • Private medical insurance • Work from home Schedule: • Monday to Friday Supplemental pay types: • Bonus scheme Application question(s): • Are you comfortable working from a west London office 4 days per week? Education: • Bachelor's (required) Work authorisation: • United Kingdom (required) Work Location: Hybrid remote in London Reference ID: RWAAIEngineer Company: Richard Wheeler Associates Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , United Kingdom
Apr 30, 2024
Full time
Principal AI Engineer, NLP, Large Language Models, Drug Discovery West London - office based 4 days per week Highly competitive salary + BUPA + high Bonus We're looking for an MSc/PhD level AI Engineer/AI Scientist. An Artificial Intelligence/Machine Learning expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The Principal AI Engineer will specialise in NLP/LLMs bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. Responsibilities: • Co-developing and implementing cutting-edge in-house AI capabilities and infrastructure primarily in the domain of NLP and, specifically, LLMs to support drug discovery • Responsibility for software and data engineering projects and development/maintenance of computational platform infrastructure to support AI-driven drug discovery • Review and development of existing platform engineering solutions to support bioinformaticians, computational and discovery biologists, oligonucleotide chemists and business analysts You will need: • MSc/PhD and ideally 4+ years post-doctoral or similar experience, in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models • Experience in Network Science and modern statistical methods would be a plus • Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment • Strong interpersonal skills which support team cohesion while being able to provide direct and constructive feedback and solutions • Well-developed communication skills with demonstrated ability to communicate effectively both in writing (reports, publications in scientific journals, etc) and via oral presentations • Ability to think critically and demonstrate troubleshooting and problem-solving skills • Experience of collaborative projects with other biopharma partners would be an advantage Knowledge/experience - will include several of: • The application of AI/ML approaches to problems in the Life Sciences • NLP and Large Language Models eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. • Tools, techniques, and processes of modern software development, e.g. version control, CI/CD, DevOps, and DataOps • Cloud native technologies and approaches such as Docker and Kubernetes • Cloud computing environments with a preference for AWS • UX/UI design and deployment an advantage • Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications • Data management techniques for large-scale scientific data sets • High level programming skills in a number of modern programming languages such as Java, C/C++, R and Python • SOA NLP APIs and Machine Learning / Deep Learning frameworks • Translating user requirements into workflow designs/specifications • Building and optimising data processing pipelines e.g. Nextflow/Nextflow Tower, SQL/NoSQL • Experience with graph databases is highly desirable You will be joining a stunning, world class, tech team of problem solvers. Some of the wider benefits: BUPA for self + partner/family Discretionary bonus 10% employer pension contribution Principal AI Scientist Principal AI Engineer Machine Learning Engineer NLP Engineer Job Types: Full-time, Permanent Pay: £73,685.00-£100,767.00 per year Benefits: • Company pension • Private medical insurance • Work from home Schedule: • Monday to Friday Supplemental pay types: • Bonus scheme Application question(s): • Are you comfortable working from a west London office 4 days per week? Education: • Bachelor's (required) Work authorisation: • United Kingdom (required) Work Location: Hybrid remote in London Reference ID: RWAAIEngineer Company: Richard Wheeler Associates Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , United Kingdom
It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Corporate Overview Proofpoint is a leading cybersecurity company protecting organisations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks . Leading organisations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most cri tical risks across email, the cloud, social media, and the web. We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That is why we are a leader in next-generation cybersecurity. The Role Proofpoint is looking for a Senior Data Scientist to join our Algo team . The key responsibility for this role is to further enhance our email threat detection engine that protects some of the largest businesses in the world. You will collaborate cross-org with Product and Engineering and lead major initiatives end-to-end ensuring that we apply state-of-the-art machine learning tools and techniques to identify and solve the most impactful problems. You will also help promote machine learning best practices and encourage innovative approaches to problem-solving within the team. Wrangle and draw meaningful insights from massive amounts of unstructured email datasets using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker Apply tested machine learning model techniques (Boosting/Bagging) to classify large amount of imbalanced labelled datasets Develop and implement advanced anomaly detection models and algorithms to identify unusual patterns, behaviors for detect ing email threats Directly impact the effectiveness of our core products by training and deploying models to production using AWS SageMaker as the MLOps platform Brainstorm, communicate, and partner with Product and Engineering teams promoting a data-driven approach to identify focus areas for data science research Mentor data scientists, drive best practices and cultivate an environment of experimentation and learning Stay up-to-date and explore the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable What you bring to the team Experience leading multiple highly impactful machine learning projects with proven results In-depth experience with boosting machine learning frameworks for imbalanced classification task e.g., XGBoost or Catboost Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements . Prior experience in fraud detection, particularly in applying graph neural networks or other advanced machine learning algorithms to detect fraud is desirable In-depth experience with one or more deep neural network frameworks e.g., PyTorch , Tensorflow , JAX . Experience with PyTorch Geometric or DGL is a plus Experience monitoring and maintaining performance of models over time in production taking into account model/data drifts A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team Great listening skills; open to input from other team members and departments Why Proofpoint Protecting people is at the heart of our award-winning cybersecurity solutions, andthe people who work here are the key tooursuccess. We're a customer-focused and driven-to-win organisation with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add ', and we strongly encourage people from all walks of life to apply . We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Proofpoint Best Places to Work Awards Proofpoint has been honored with five Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams. Proofpoint thrives on the invaluable contributions of our diverse workforce, which encompasses a kaleidoscope of lived experiences, thoughts, perspectives, and professional expertise. We attribute much of our success to our people, who are at the core of our organization and embody our people-centric ethos. Disrupting the Status Quo We hire the most innovative minds globally to safeguard our customers' sensitive data and intellectual property. Our talented workforce develops and leverages our advanced technology, combining their expertise to provide comprehensive protection against threat actors and mitigate the risks posed by both malicious and negligent employees. Making a Difference Cyberattacks have the potential to disrupt access to vital resources such as energy, water, transportation, healthcare, and financial services. At Proofpoint, our dedicated team works tirelessly to ensure world-class cyber resilience, protecting approximately 8,000 enterprise customers worldwide. Our Commitment We are committed to creating a diverse, equitable, and inclusive environment. We work every day to ensure that our employees feel that they are in a community that celebrates their unique identity, cultivates their sense of belonging, and invests in their professional growth. We have 9 employee-led employee inclusion groups which help support both employees and our organization by providing opportunities to network, discuss career and cultural development and uplift the corporate culture to create a more inclusive workplace. About Us At Proofpoint, we have a passion for protecting people, data, and brands from today's advanced threats and compliance risks. We hire the best people in the business to: Build and enhance our proven security platform Blend innovation and speed in a constantly evolving cloud architecture Analyze new threats and offer deep insight through data-driven intel Collaborate with customers to help solve their toughest security challenges We are singularly devoted to helping our customers protect what matters most. That's why we're a leader in next-generation cybersecurity-and why more than half of the Fortune 100 trust us as a security partner. Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Apr 30, 2024
Full time
It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Corporate Overview Proofpoint is a leading cybersecurity company protecting organisations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks . Leading organisations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most cri tical risks across email, the cloud, social media, and the web. We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That is why we are a leader in next-generation cybersecurity. The Role Proofpoint is looking for a Senior Data Scientist to join our Algo team . The key responsibility for this role is to further enhance our email threat detection engine that protects some of the largest businesses in the world. You will collaborate cross-org with Product and Engineering and lead major initiatives end-to-end ensuring that we apply state-of-the-art machine learning tools and techniques to identify and solve the most impactful problems. You will also help promote machine learning best practices and encourage innovative approaches to problem-solving within the team. Wrangle and draw meaningful insights from massive amounts of unstructured email datasets using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker Apply tested machine learning model techniques (Boosting/Bagging) to classify large amount of imbalanced labelled datasets Develop and implement advanced anomaly detection models and algorithms to identify unusual patterns, behaviors for detect ing email threats Directly impact the effectiveness of our core products by training and deploying models to production using AWS SageMaker as the MLOps platform Brainstorm, communicate, and partner with Product and Engineering teams promoting a data-driven approach to identify focus areas for data science research Mentor data scientists, drive best practices and cultivate an environment of experimentation and learning Stay up-to-date and explore the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable What you bring to the team Experience leading multiple highly impactful machine learning projects with proven results In-depth experience with boosting machine learning frameworks for imbalanced classification task e.g., XGBoost or Catboost Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements . Prior experience in fraud detection, particularly in applying graph neural networks or other advanced machine learning algorithms to detect fraud is desirable In-depth experience with one or more deep neural network frameworks e.g., PyTorch , Tensorflow , JAX . Experience with PyTorch Geometric or DGL is a plus Experience monitoring and maintaining performance of models over time in production taking into account model/data drifts A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team Great listening skills; open to input from other team members and departments Why Proofpoint Protecting people is at the heart of our award-winning cybersecurity solutions, andthe people who work here are the key tooursuccess. We're a customer-focused and driven-to-win organisation with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add ', and we strongly encourage people from all walks of life to apply . We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Proofpoint Best Places to Work Awards Proofpoint has been honored with five Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams. Proofpoint thrives on the invaluable contributions of our diverse workforce, which encompasses a kaleidoscope of lived experiences, thoughts, perspectives, and professional expertise. We attribute much of our success to our people, who are at the core of our organization and embody our people-centric ethos. Disrupting the Status Quo We hire the most innovative minds globally to safeguard our customers' sensitive data and intellectual property. Our talented workforce develops and leverages our advanced technology, combining their expertise to provide comprehensive protection against threat actors and mitigate the risks posed by both malicious and negligent employees. Making a Difference Cyberattacks have the potential to disrupt access to vital resources such as energy, water, transportation, healthcare, and financial services. At Proofpoint, our dedicated team works tirelessly to ensure world-class cyber resilience, protecting approximately 8,000 enterprise customers worldwide. Our Commitment We are committed to creating a diverse, equitable, and inclusive environment. We work every day to ensure that our employees feel that they are in a community that celebrates their unique identity, cultivates their sense of belonging, and invests in their professional growth. We have 9 employee-led employee inclusion groups which help support both employees and our organization by providing opportunities to network, discuss career and cultural development and uplift the corporate culture to create a more inclusive workplace. About Us At Proofpoint, we have a passion for protecting people, data, and brands from today's advanced threats and compliance risks. We hire the best people in the business to: Build and enhance our proven security platform Blend innovation and speed in a constantly evolving cloud architecture Analyze new threats and offer deep insight through data-driven intel Collaborate with customers to help solve their toughest security challenges We are singularly devoted to helping our customers protect what matters most. That's why we're a leader in next-generation cybersecurity-and why more than half of the Fortune 100 trust us as a security partner. Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
The following content displays a map of the jobs location - London We're all about the little helps. That's why we give our wonderful colleagues bags of benefits. Including wellbeing services, an award-winning pension scheme and much, much more, our colleague reward package keeps on giving. And helps make every day a little better for you and your family. These include but are not limited to: Annual bonus scheme of up to 20% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) Buy holiday salary sacrifice scheme (for salaried roles) Private medical insurance Retirement savings plan - save between 4% and 7.5% and Tesco will match your contribution Life Assurance - 5 x contractual pay 26 weeks maternity and adoption leave (after 1 years' 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 The right to request flexible working from your first day with us Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing A Colleague Clubcard for you & a family member (after 3 months of service), giving you access to lots of discounts in-store & online Great colleague deals and discounts, saving you money on everyday purchases, eating out and utility bills for the home Access to our colleague networks providing a space for colleagues to come together from a range of backgrounds. For more information about our colleague networks please click here Opportunities to get on - take advantage of our ongoing learning opportunities and award-winning training, to help you achieve the job and career you want Click Here to read more about the full range of benefits we have available for our colleagues About the role At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard, where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects. We work on several domains and problem types: online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore, we have got a great work-life balance, team days and relaxed but engaging culture. You will be responsible for This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. Apply, modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark) is a core component of the role. Our data scientists will need to be able to validate, document and present the modeling process and performances, as well as communicate complex solutions in a clear, understandable way to nonexperts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community. You will need to use your skills in computer vision and deep learning to build proof of concepts as well production solutions, making your contribution to develop and deploy Computer Vision solutions across Tesco's environment. You will have the opportunity to get grow, improve your skills while working with an expert team, as well as mentor and upskill team members. The Tesco Data Science career framework will give you the possibility to grow within the team and the company, as an individual contributor or as a manager. You will need We are looking for ambitious individuals with around one year experience in computer vision solutions. A mix of statistics and machine learning skills are also welcome. A track record in modifying and designing advanced algorithms and applying them to large real-world data sets is fundamental. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. An advanced education degree in computer vision subjects or a higher degree in a mathematical, scientific, engineering or computer science discipline is preferable, or relevant work experience. Finally, strong programming experience in Python. The ideal candidate would have experience of the following: Deep Learning frameworks:Tensorflow and/or PyTorch Object detection models, e.g. Faster-RCNN, YOLO, EfficientDet, Nvidia models Libraries and tools: OpenCV, scikit-image, SciPy, Pandas, Docker, Git Working knowledge of image processing, and video technology Object tracking (optional) Real-time video processing (optional) 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. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. 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. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Apr 30, 2024
Full time
The following content displays a map of the jobs location - London We're all about the little helps. That's why we give our wonderful colleagues bags of benefits. Including wellbeing services, an award-winning pension scheme and much, much more, our colleague reward package keeps on giving. And helps make every day a little better for you and your family. These include but are not limited to: Annual bonus scheme of up to 20% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) Buy holiday salary sacrifice scheme (for salaried roles) Private medical insurance Retirement savings plan - save between 4% and 7.5% and Tesco will match your contribution Life Assurance - 5 x contractual pay 26 weeks maternity and adoption leave (after 1 years' 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 The right to request flexible working from your first day with us Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing A Colleague Clubcard for you & a family member (after 3 months of service), giving you access to lots of discounts in-store & online Great colleague deals and discounts, saving you money on everyday purchases, eating out and utility bills for the home Access to our colleague networks providing a space for colleagues to come together from a range of backgrounds. For more information about our colleague networks please click here Opportunities to get on - take advantage of our ongoing learning opportunities and award-winning training, to help you achieve the job and career you want Click Here to read more about the full range of benefits we have available for our colleagues About the role At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard, where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects. We work on several domains and problem types: online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore, we have got a great work-life balance, team days and relaxed but engaging culture. You will be responsible for This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. Apply, modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark) is a core component of the role. Our data scientists will need to be able to validate, document and present the modeling process and performances, as well as communicate complex solutions in a clear, understandable way to nonexperts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community. You will need to use your skills in computer vision and deep learning to build proof of concepts as well production solutions, making your contribution to develop and deploy Computer Vision solutions across Tesco's environment. You will have the opportunity to get grow, improve your skills while working with an expert team, as well as mentor and upskill team members. The Tesco Data Science career framework will give you the possibility to grow within the team and the company, as an individual contributor or as a manager. You will need We are looking for ambitious individuals with around one year experience in computer vision solutions. A mix of statistics and machine learning skills are also welcome. A track record in modifying and designing advanced algorithms and applying them to large real-world data sets is fundamental. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. An advanced education degree in computer vision subjects or a higher degree in a mathematical, scientific, engineering or computer science discipline is preferable, or relevant work experience. Finally, strong programming experience in Python. The ideal candidate would have experience of the following: Deep Learning frameworks:Tensorflow and/or PyTorch Object detection models, e.g. Faster-RCNN, YOLO, EfficientDet, Nvidia models Libraries and tools: OpenCV, scikit-image, SciPy, Pandas, Docker, Git Working knowledge of image processing, and video technology Object tracking (optional) Real-time video processing (optional) 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. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. 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. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
Senior Data Scientist Up to 75k Windsor - Once a week Austin Fraser has an exciting opportunity for a Senior Data Scientist to join a successful company in the food industry that improves the efficiency, quality and safety of food production. This permanent position is well suited to an individual who is ambitious, autonomous and looking to gain hands-on experience in a rapidly growing environment. If you are a Senior Data Scientist with 5+ years of commercial experience and have a strong knowledge of Python, Power BI and Azure then this could be the role for you. In return you will benefit from a great remuneration package, working with a modern tech stack and the opportunity to work amongst the best of the best! The role: Solving real world problems Make a contribution to the data driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
Apr 30, 2024
Full time
Senior Data Scientist Up to 75k Windsor - Once a week Austin Fraser has an exciting opportunity for a Senior Data Scientist to join a successful company in the food industry that improves the efficiency, quality and safety of food production. This permanent position is well suited to an individual who is ambitious, autonomous and looking to gain hands-on experience in a rapidly growing environment. If you are a Senior Data Scientist with 5+ years of commercial experience and have a strong knowledge of Python, Power BI and Azure then this could be the role for you. In return you will benefit from a great remuneration package, working with a modern tech stack and the opportunity to work amongst the best of the best! The role: Solving real world problems Make a contribution to the data driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If this sounds like an interesting position click apply now! Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
Senior Data Scientist - Hybrid / Remote (one day on-site)- West London - up to 80,000 Our client is a pioneer in the food & beverage industry are they are now looking for a Data Scientist to work in a team of 7 and organise their financial data.In this role you will be in an agile squad with Data Scientists and Data engineers at different levels of seniority. Your task will evolve around anlaysing their financial data and you need to make this data available for other stakeholders across the business.It's an opportunity for embarking on interesting challenges at a global scale! Essential Skills (3 years): Python Azure ML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk / insurance / FX Rates / Commodity pricing) is a bonus Benefits: Flexible working and a guaranteed Bonus of 5% (or more) If you are interested, submit your CV by applying directly or contacting Rosen at (url removed) Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
Apr 30, 2024
Full time
Senior Data Scientist - Hybrid / Remote (one day on-site)- West London - up to 80,000 Our client is a pioneer in the food & beverage industry are they are now looking for a Data Scientist to work in a team of 7 and organise their financial data.In this role you will be in an agile squad with Data Scientists and Data engineers at different levels of seniority. Your task will evolve around anlaysing their financial data and you need to make this data available for other stakeholders across the business.It's an opportunity for embarking on interesting challenges at a global scale! Essential Skills (3 years): Python Azure ML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk / insurance / FX Rates / Commodity pricing) is a bonus Benefits: Flexible working and a guaranteed Bonus of 5% (or more) If you are interested, submit your CV by applying directly or contacting Rosen at (url removed) Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status. Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants. Check us out on our website and LinkedIn for more roles. We respect your personal data and would never offer it to third parties! For more information on how we handle your data, feel free to check out the Austin Fraser Privacy Notice or contact (url removed) Austin Fraser International Ltd is registered in England: (phone number removed) Austin Fraser International Ltd, 33 Soho Square, London, W1D 3QU
People Source Consulting
Cambridge, Cambridgeshire
Role: Senior Research Software Development Engineer Location: 198 Cambridge Science Park, Cambridge PAYE contract - Required start date Monday 22 April 2024, Required end date: 30/06/2024, expectation to extend up to 18 months from the start date. Work schedule: full time, 40 hours a week This position is for a highly proficient software engineer who likes to work in a research setting, and who will have the opportunity to impact the progress of this exciting new storage system. You would be responsible for working on the software controlling research systems and that analyses results. Come and join an incredibly talented multi-disciplinary team of laser scientists, optical physicists, electronics engineers, and computer scientists working together in a tight-knit team to build this storage technology of the future. Required skills Excellent software design and implementation skills. Mastery of computer science fundamentals (e.g., concurrency, data-structures. Proficient at communication and team working in a multi-disciplinary and highly agile environment. Able to work independently with minimal supervisions towards only partly-defined tasks interacting with others in the team to clarify needs and iterate quickly. C/C++ native coding experience. Preferred skills Experience with python, e.g., numpy, etc. Knowledge of scientific computing, e.g. image processing techniques. Experience working with hardware (not everything can be debugged offline) Key Responsibilities: Designing, implementing, and testing new features in the codebase to support research experiments. Working closely with scientists to understand their needs and help smooth their day-to-day workflow. Maintaining and improving our C# codebase which controls our hardware systems. Diagnosing and troubleshooting interactions between the hardware and software. Maintaining and improving our python codebase for results analysis. Qualifications Bachelor's in Computer Science (Masters or PhD preferred), or related field. Experience working in a research setting (e.g., PostDoc, Research Assistant, or Research Software Engineer (RSE C# coding, at least 3 years of experience. Contract Details: PAYE Contract 18 Months Contract Hybrid (Cambridge) How To Apply Please send a CV to (url removed) People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Apr 30, 2024
Contractor
Role: Senior Research Software Development Engineer Location: 198 Cambridge Science Park, Cambridge PAYE contract - Required start date Monday 22 April 2024, Required end date: 30/06/2024, expectation to extend up to 18 months from the start date. Work schedule: full time, 40 hours a week This position is for a highly proficient software engineer who likes to work in a research setting, and who will have the opportunity to impact the progress of this exciting new storage system. You would be responsible for working on the software controlling research systems and that analyses results. Come and join an incredibly talented multi-disciplinary team of laser scientists, optical physicists, electronics engineers, and computer scientists working together in a tight-knit team to build this storage technology of the future. Required skills Excellent software design and implementation skills. Mastery of computer science fundamentals (e.g., concurrency, data-structures. Proficient at communication and team working in a multi-disciplinary and highly agile environment. Able to work independently with minimal supervisions towards only partly-defined tasks interacting with others in the team to clarify needs and iterate quickly. C/C++ native coding experience. Preferred skills Experience with python, e.g., numpy, etc. Knowledge of scientific computing, e.g. image processing techniques. Experience working with hardware (not everything can be debugged offline) Key Responsibilities: Designing, implementing, and testing new features in the codebase to support research experiments. Working closely with scientists to understand their needs and help smooth their day-to-day workflow. Maintaining and improving our C# codebase which controls our hardware systems. Diagnosing and troubleshooting interactions between the hardware and software. Maintaining and improving our python codebase for results analysis. Qualifications Bachelor's in Computer Science (Masters or PhD preferred), or related field. Experience working in a research setting (e.g., PostDoc, Research Assistant, or Research Software Engineer (RSE C# coding, at least 3 years of experience. Contract Details: PAYE Contract 18 Months Contract Hybrid (Cambridge) How To Apply Please send a CV to (url removed) People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Our client has an exciting opportunity for a Senior Data Scientist to join the team. Location: London, UK (Remote) must be based in the UK as will require occasional travel into the office Salary: £60k - £85k PA (dependant on experience) Job Type: Full-time, Permanent About The Company: Our client is a leading EdTech firm specialising in child digital safety technology for use in primary and secondary schools in the UK. They aim to provide sophisticated advanced child digital safety by monitoring students' online activity, filtering content and providing alerts to school faculty regarding student safety. Senior Data Scientist The Role: Our client is looking for a Data Scientist to join their Data and AI team working closely with partners across the business to tackle challenging problems and enhance company performance through algorithms, experimentation, and interactive dashboards. As part of the Data and AI team, you will set the standard for data-driven decision-making. You will also have the chance to contribute to innovative research studies and the development of production-grade algorithms benefiting students and educators. Senior Data Scientist Key Responsibilities: - Take the lead in designing, developing, and refining advanced machine learning models aimed at personalising learning experiences, forecasting student outcomes, and improving the delivery of educational content - Employ statistical analysis and data mining techniques to sift through extensive datasets, extracting actionable insights that drive product development, user engagement strategies, and enhancements to educational content - Collaborate closely with product managers, software engineers, and educational experts to seamlessly integrate data science solutions into the platform -Provide mentorship and guidance to junior data scientists and analysts, fostering a culture of learning and ongoing improvement within the team - Regularly interface with senior management or executive leadership on matters pertaining to data science - Stay abreast of the latest advancements in data science, machine learning, generative AI, and educational technology - Uphold ethical standards in data usage, comply with privacy laws and regulations, and implement robust data governance practices to safeguard sensitive information pertaining to students and educators Senior Data Scientist You: - 5+ years of data scientist experience - Experience within EdTech or other similar field - Degree or Higher Education qualification in Computer Science or other relevant field - Advanced proficiency in Python and SQL is required - Demonstrated leadership in steering data science initiatives towards impactful outcomes - Proficiency in both written and verbal communication - Strong expertise in traditional statistics and machine learning methodologies - Familiarity with git and cloud computing platforms (such as AWS, GCP, or Azure) is desirable - Previous experience in mentoring and guiding junior to mid-level data scientists would be advantageous Senior Data Scientist Benefits: - Comprehensive pension scheme - 26 days holiday including an extra day for your birthday plus the option to buy additional days - Company car and expensed travel - Flexible working - Regular company events - Death in service 4 times annual salary - Annual personal learning budget - 7 hours of paid volunteering work Application Process: You must have the right to work in the UK in order to be eligible to apply for this position. This position is predominantly remote based but the role will require occasional travel into the office. To submit your CV for this exciting Senior Data Scientist opportunity, please click Apply
Apr 30, 2024
Full time
Our client has an exciting opportunity for a Senior Data Scientist to join the team. Location: London, UK (Remote) must be based in the UK as will require occasional travel into the office Salary: £60k - £85k PA (dependant on experience) Job Type: Full-time, Permanent About The Company: Our client is a leading EdTech firm specialising in child digital safety technology for use in primary and secondary schools in the UK. They aim to provide sophisticated advanced child digital safety by monitoring students' online activity, filtering content and providing alerts to school faculty regarding student safety. Senior Data Scientist The Role: Our client is looking for a Data Scientist to join their Data and AI team working closely with partners across the business to tackle challenging problems and enhance company performance through algorithms, experimentation, and interactive dashboards. As part of the Data and AI team, you will set the standard for data-driven decision-making. You will also have the chance to contribute to innovative research studies and the development of production-grade algorithms benefiting students and educators. Senior Data Scientist Key Responsibilities: - Take the lead in designing, developing, and refining advanced machine learning models aimed at personalising learning experiences, forecasting student outcomes, and improving the delivery of educational content - Employ statistical analysis and data mining techniques to sift through extensive datasets, extracting actionable insights that drive product development, user engagement strategies, and enhancements to educational content - Collaborate closely with product managers, software engineers, and educational experts to seamlessly integrate data science solutions into the platform -Provide mentorship and guidance to junior data scientists and analysts, fostering a culture of learning and ongoing improvement within the team - Regularly interface with senior management or executive leadership on matters pertaining to data science - Stay abreast of the latest advancements in data science, machine learning, generative AI, and educational technology - Uphold ethical standards in data usage, comply with privacy laws and regulations, and implement robust data governance practices to safeguard sensitive information pertaining to students and educators Senior Data Scientist You: - 5+ years of data scientist experience - Experience within EdTech or other similar field - Degree or Higher Education qualification in Computer Science or other relevant field - Advanced proficiency in Python and SQL is required - Demonstrated leadership in steering data science initiatives towards impactful outcomes - Proficiency in both written and verbal communication - Strong expertise in traditional statistics and machine learning methodologies - Familiarity with git and cloud computing platforms (such as AWS, GCP, or Azure) is desirable - Previous experience in mentoring and guiding junior to mid-level data scientists would be advantageous Senior Data Scientist Benefits: - Comprehensive pension scheme - 26 days holiday including an extra day for your birthday plus the option to buy additional days - Company car and expensed travel - Flexible working - Regular company events - Death in service 4 times annual salary - Annual personal learning budget - 7 hours of paid volunteering work Application Process: You must have the right to work in the UK in order to be eligible to apply for this position. This position is predominantly remote based but the role will require occasional travel into the office. To submit your CV for this exciting Senior Data Scientist opportunity, please click Apply
Senior Data Engineer Role purpose: The Senior Data Engineer plays a pivotal role within the Data team of the Digital and Information function, assuming a leadership position in ensuring the availability, integrity, quality, and accuracy of data. With a wealth of experience, the Senior Data Engineer leads the design, development, and maintenance of data pipelines and workflows, driving the organisation's data processing capabilities and enabling the seamless delivery of BI reporting and analytics. In addition to core responsibilities, the Senior Data Engineer takes a proactive role in advancing our Azure-based data platform, leveraging cutting-edge technologies like Azure Data Factory and Azure Databricks. This role presents exciting opportunities to spearhead digital transformation projects and innovate within the data landscape. Operating within Agile principles and methodologies, the Senior Data Engineer collaborates closely with fellow data engineers and key stakeholders, assuming a leading role in shaping and managing the portfolio of reporting and data requirements. Leveraging their extensive expertise, the Senior Data Engineer contributes significantly to refining the overall data strategy, ensuring alignment with organisational objectives and driving continuous improvement initiatives. Key Responsibilities: Ownership and delivery of the design, development and maintenance of highly scalable and robust data pipelines and workflows utilising Azure Data Factory and Databricks. Lead data transformation and integration efforts to augment data from diverse sources, ensuring data governance and regulatory compliance throughout the process. Establish and enforce data quality standards through the implementation of rigorous data validation processes, ensuring the utmost accuracy, completeness, and consistency of the data ecosystem. Serve as a key liaison between cross-functional teams, including data scientists, analysts, and business stakeholders, to comprehensively understand data requirements, conduct User Acceptance Testing (UAT), and deliver tailored solutions that align with business objectives. Proactively monitor pipeline performance, swiftly identifying and resolving any potential issues to uphold seamless data processing operations and minimize downtime. Drive comprehensive documentation of data pipelines, workflows, and procedures to foster knowledge sharing and ensure ongoing system maintainability and scalability. Demonstrate proficiency in managing and resolving 2nd line data and reporting support requests through designated ticketing systems, mitigating disruptions to business operations with timely and effective resolutions. Actively engage in daily stand-ups, weekly stakeholder meetings, and retrospectives, providing valuable insights and contributing to continuous improvement initiatives across the team and broader organization. Technical / Professional Qualifications / Requirements: Hands-on advanced experience in designing, developing, and managing data pipelines using Azure Data Factory. Strong working knowledge of Databricks for data processing, analytics and Machine learning. Advanced experience with data modelling techniques and data warehousing concepts. Advanced proficiency in SQL for data querying and manipulation and good knowledge of Python. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities, following the Agile way of working Ability to lead and analyse complex data problems and propose effective solutions. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Benefits Include: 25 days AL plus bank holidays 1 Wellbeing day Private Medical Pension - 8% matched pension Life Assurance x4 basic salary Income protection Dental plan - voluntary benefit
Apr 30, 2024
Full time
Senior Data Engineer Role purpose: The Senior Data Engineer plays a pivotal role within the Data team of the Digital and Information function, assuming a leadership position in ensuring the availability, integrity, quality, and accuracy of data. With a wealth of experience, the Senior Data Engineer leads the design, development, and maintenance of data pipelines and workflows, driving the organisation's data processing capabilities and enabling the seamless delivery of BI reporting and analytics. In addition to core responsibilities, the Senior Data Engineer takes a proactive role in advancing our Azure-based data platform, leveraging cutting-edge technologies like Azure Data Factory and Azure Databricks. This role presents exciting opportunities to spearhead digital transformation projects and innovate within the data landscape. Operating within Agile principles and methodologies, the Senior Data Engineer collaborates closely with fellow data engineers and key stakeholders, assuming a leading role in shaping and managing the portfolio of reporting and data requirements. Leveraging their extensive expertise, the Senior Data Engineer contributes significantly to refining the overall data strategy, ensuring alignment with organisational objectives and driving continuous improvement initiatives. Key Responsibilities: Ownership and delivery of the design, development and maintenance of highly scalable and robust data pipelines and workflows utilising Azure Data Factory and Databricks. Lead data transformation and integration efforts to augment data from diverse sources, ensuring data governance and regulatory compliance throughout the process. Establish and enforce data quality standards through the implementation of rigorous data validation processes, ensuring the utmost accuracy, completeness, and consistency of the data ecosystem. Serve as a key liaison between cross-functional teams, including data scientists, analysts, and business stakeholders, to comprehensively understand data requirements, conduct User Acceptance Testing (UAT), and deliver tailored solutions that align with business objectives. Proactively monitor pipeline performance, swiftly identifying and resolving any potential issues to uphold seamless data processing operations and minimize downtime. Drive comprehensive documentation of data pipelines, workflows, and procedures to foster knowledge sharing and ensure ongoing system maintainability and scalability. Demonstrate proficiency in managing and resolving 2nd line data and reporting support requests through designated ticketing systems, mitigating disruptions to business operations with timely and effective resolutions. Actively engage in daily stand-ups, weekly stakeholder meetings, and retrospectives, providing valuable insights and contributing to continuous improvement initiatives across the team and broader organization. Technical / Professional Qualifications / Requirements: Hands-on advanced experience in designing, developing, and managing data pipelines using Azure Data Factory. Strong working knowledge of Databricks for data processing, analytics and Machine learning. Advanced experience with data modelling techniques and data warehousing concepts. Advanced proficiency in SQL for data querying and manipulation and good knowledge of Python. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities, following the Agile way of working Ability to lead and analyse complex data problems and propose effective solutions. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Benefits Include: 25 days AL plus bank holidays 1 Wellbeing day Private Medical Pension - 8% matched pension Life Assurance x4 basic salary Income protection Dental plan - voluntary benefit
Software Engineer, Python. Python, JavaScript, Linux/Windows, Mathematical Modelling, AI Salary circa 55,000 - 60,000 plus hybrid working and benefits A great opportunity to work within a dynamic R&D software team and to develop a range of digital technology solutions to solve real world scenarios in a military / MoD setting. This small and talented team comprise of software engineers, data scientists, research engineers and mathematic programmers developing a range of solutions that support and safeguard British military personnel. Using mathematical modelling and data analytics, the systems build communication and distribution links between multiple MoD forces enabling fast response, situation awareness training, geographical placement of services and equipment and emergency response deployment. We are looking for a mid to senior level software developer keen to progress to team lead in the future (2-3 years). As such leadership aptitude and a mindset of supportive coach and mentor is the ideal profile. Scope of the role The work is varied and will include: Software development using Python & JavaScript across Linux & windows. Problem lead solutions engineering. Identifying the best fit technology to solve the problem; i.e. C, C++, C#, Haskell, Java, Python etc Developing and running mathematical models/algorithms to assist in data driven decision making. Conducting background research for new techniques, e.g. AI & ML. Developing innovative analysis methods. Ongoing professional self-development. Working conditions This work will be hybrid office based in Alton, Hampshire (1-3 days a week) with occasional travel to customer site. On completion of probation, hybrid flexibility will increase. Salary & Benefits Approx. 55,000 - 60,000 plus benefits, training and investment in personal development. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Apr 30, 2024
Full time
Software Engineer, Python. Python, JavaScript, Linux/Windows, Mathematical Modelling, AI Salary circa 55,000 - 60,000 plus hybrid working and benefits A great opportunity to work within a dynamic R&D software team and to develop a range of digital technology solutions to solve real world scenarios in a military / MoD setting. This small and talented team comprise of software engineers, data scientists, research engineers and mathematic programmers developing a range of solutions that support and safeguard British military personnel. Using mathematical modelling and data analytics, the systems build communication and distribution links between multiple MoD forces enabling fast response, situation awareness training, geographical placement of services and equipment and emergency response deployment. We are looking for a mid to senior level software developer keen to progress to team lead in the future (2-3 years). As such leadership aptitude and a mindset of supportive coach and mentor is the ideal profile. Scope of the role The work is varied and will include: Software development using Python & JavaScript across Linux & windows. Problem lead solutions engineering. Identifying the best fit technology to solve the problem; i.e. C, C++, C#, Haskell, Java, Python etc Developing and running mathematical models/algorithms to assist in data driven decision making. Conducting background research for new techniques, e.g. AI & ML. Developing innovative analysis methods. Ongoing professional self-development. Working conditions This work will be hybrid office based in Alton, Hampshire (1-3 days a week) with occasional travel to customer site. On completion of probation, hybrid flexibility will increase. Salary & Benefits Approx. 55,000 - 60,000 plus benefits, training and investment in personal development. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Senior Data Scientist/ Data Scientist/ Machine Learning Engineer/ Exeter/ Torquay/ Weymouth/ Python/ C#/ Unity/ Machine Learning - 45,000 - 55,000 My client is looking for a new Data Scientist with experience in Artificial Intelligence and Machine Learning to join a growing development team as a Data and Machine Learning Developer. Your expertise will directly contribute to the advancement of their Immersive technology solutions (working in Unity / C#) and their applications across various sectors. You MUST have Front-end development and Machine Learning experience to be suitable for this position. Requirements: Ph.D. in Computer Science, Data Science, Statistics, or a related field (ideally with an application to human factors, psychology or neuroscience). Prior exposure to and knowledge of physiological sensors, biosensors and data acquisition systems would be an advantage It would be an advantage if you already have SC clearance You also must have been based in the UK for the last 5 years Responsibilities: Experience with programming languages such as Python is needed; familiarity with C# is a plus Create, deploy and refine algorithms that process, analyse, and learn from large psychophysiological data sets Collaborate with team members along with communicating to the relevant stakeholders on technical matters Capable of Integrating Machine Learning models into production systems and deploy them for real-time or batch processing Senior Data Scientist/ Data Scientist/ Machine Learning Engineer/ Exeter/ Torquay/ Weymouth/ Python/ C#/ Unity/ Machine Learning - 45,000 - 55,000 Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Apr 30, 2024
Full time
Senior Data Scientist/ Data Scientist/ Machine Learning Engineer/ Exeter/ Torquay/ Weymouth/ Python/ C#/ Unity/ Machine Learning - 45,000 - 55,000 My client is looking for a new Data Scientist with experience in Artificial Intelligence and Machine Learning to join a growing development team as a Data and Machine Learning Developer. Your expertise will directly contribute to the advancement of their Immersive technology solutions (working in Unity / C#) and their applications across various sectors. You MUST have Front-end development and Machine Learning experience to be suitable for this position. Requirements: Ph.D. in Computer Science, Data Science, Statistics, or a related field (ideally with an application to human factors, psychology or neuroscience). Prior exposure to and knowledge of physiological sensors, biosensors and data acquisition systems would be an advantage It would be an advantage if you already have SC clearance You also must have been based in the UK for the last 5 years Responsibilities: Experience with programming languages such as Python is needed; familiarity with C# is a plus Create, deploy and refine algorithms that process, analyse, and learn from large psychophysiological data sets Collaborate with team members along with communicating to the relevant stakeholders on technical matters Capable of Integrating Machine Learning models into production systems and deploy them for real-time or batch processing Senior Data Scientist/ Data Scientist/ Machine Learning Engineer/ Exeter/ Torquay/ Weymouth/ Python/ C#/ Unity/ Machine Learning - 45,000 - 55,000 Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Senior Data Scientist Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. What we're looking for: As part of our on-going global expansion strategy, we are currently hiring Senior Data Scientists as Capco continues to grow it's UK Data Practice in our London office. The Senior Data Scientist should be experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems. You will be an SME on data science / ML solutions and use case development. The successful candidate will advise the Data Scientists and Engineers on technical requirements around the model design, model architecture, model calibration, solution design, and solutions output In addition to this, they will be expected to leverage their expertise to train and grow Data Scientists at a range of experience levels. Responsibilities Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems Technically lead multiple pods of data science & engineers to develop solutions from a business problem into POCs, MVPs, or fully-fledged solutions while collaborating closely with domain experts. Help transition from development environment to production Act as a subject matter expert in data science and machine learning and coach other data scientists Essential skills Analytics, modelling or software development experience including coding/software development skills. In particular: Hands-on experience in building and implementing data science and machine learning solutions to tackle business problems Comfort with rapid prototyping and disciplined software development processes Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.)data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras) Demonstrated ability to work on multi-disciplinary teams with diverse skillsets Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD) Experience of working in cloud environments (Azure, GCP, AWS) You are also expected to have: Higher level degree (MsC/PhD) in a numerate discipline. Excellent leadership skills Able to articulate complex data science concepts to both technical and non-technical audiences Banking and/or Financial Services experience. Bonus points: Entries into Kaggle Competitions Creativity, resourcefulness and a collaborative spirit Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clientsand employees Ongoing learning opportunities to help you acquire new skills or deepenexisting expertise A flat, non-hierarchical structure that will enable you to work with senior partnersand directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
Apr 30, 2024
Full time
Senior Data Scientist Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. What we're looking for: As part of our on-going global expansion strategy, we are currently hiring Senior Data Scientists as Capco continues to grow it's UK Data Practice in our London office. The Senior Data Scientist should be experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems. You will be an SME on data science / ML solutions and use case development. The successful candidate will advise the Data Scientists and Engineers on technical requirements around the model design, model architecture, model calibration, solution design, and solutions output In addition to this, they will be expected to leverage their expertise to train and grow Data Scientists at a range of experience levels. Responsibilities Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems Technically lead multiple pods of data science & engineers to develop solutions from a business problem into POCs, MVPs, or fully-fledged solutions while collaborating closely with domain experts. Help transition from development environment to production Act as a subject matter expert in data science and machine learning and coach other data scientists Essential skills Analytics, modelling or software development experience including coding/software development skills. In particular: Hands-on experience in building and implementing data science and machine learning solutions to tackle business problems Comfort with rapid prototyping and disciplined software development processes Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.)data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras) Demonstrated ability to work on multi-disciplinary teams with diverse skillsets Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD) Experience of working in cloud environments (Azure, GCP, AWS) You are also expected to have: Higher level degree (MsC/PhD) in a numerate discipline. Excellent leadership skills Able to articulate complex data science concepts to both technical and non-technical audiences Banking and/or Financial Services experience. Bonus points: Entries into Kaggle Competitions Creativity, resourcefulness and a collaborative spirit Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clientsand employees Ongoing learning opportunities to help you acquire new skills or deepenexisting expertise A flat, non-hierarchical structure that will enable you to work with senior partnersand directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Description At Field, we're accelerating the build out of renewable energy infrastructure to reach net zero. We are starting with battery storage, storing up energy for when it's needed most to create a more reliable, flexible and greener grid. At Field, we will show that batteries are a valuable part of our energy infrastructure - now, not in some distant future. We have ambitious plans to become Europe's defining clean energy player over the next few years, expanding beyond batteries into new asset types. Overview At Field, we are developing our automated energy trading platform, Gaia. Before the end of this year we will deploy Gaia to trade in real-time for our physical assets in the UK power markets. You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we deploy Gaia for dozens of assets in the UK and across Europe. Key Responsibilities Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge and Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences You thrive in autonomous work environmentswith a positive and proactive approach You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Extremely Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: UK or European power markets Algorithmic trading Advanced numerical methods such as time-series analysis, machine learning, or linear programming Developing, deploying, and maintaining mission-critical software Working in an operational environment Benefits We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. Other benefits include Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) Nest pension (8% combined contributions) on qualifying earnings 25 days holiday + bank holidays £2,000 annual learning & development budget to spend on whatever best supports your growth 1 month a year 'work from anywhere in the world' policy Spill: our mental health benefit allowing every Fielder access to equal and unrestricted therapy and resources Green leave: paid time off to do something good for the environment Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Regular team socials Birthday carbon offset: a gift from Field to the world to celebrate your birthday & many more on the way!
Apr 30, 2024
Full time
Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Description At Field, we're accelerating the build out of renewable energy infrastructure to reach net zero. We are starting with battery storage, storing up energy for when it's needed most to create a more reliable, flexible and greener grid. At Field, we will show that batteries are a valuable part of our energy infrastructure - now, not in some distant future. We have ambitious plans to become Europe's defining clean energy player over the next few years, expanding beyond batteries into new asset types. Overview At Field, we are developing our automated energy trading platform, Gaia. Before the end of this year we will deploy Gaia to trade in real-time for our physical assets in the UK power markets. You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we deploy Gaia for dozens of assets in the UK and across Europe. Key Responsibilities Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge and Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences You thrive in autonomous work environmentswith a positive and proactive approach You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Extremely Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: UK or European power markets Algorithmic trading Advanced numerical methods such as time-series analysis, machine learning, or linear programming Developing, deploying, and maintaining mission-critical software Working in an operational environment Benefits We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. Other benefits include Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) Nest pension (8% combined contributions) on qualifying earnings 25 days holiday + bank holidays £2,000 annual learning & development budget to spend on whatever best supports your growth 1 month a year 'work from anywhere in the world' policy Spill: our mental health benefit allowing every Fielder access to equal and unrestricted therapy and resources Green leave: paid time off to do something good for the environment Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Regular team socials Birthday carbon offset: a gift from Field to the world to celebrate your birthday & many more on the way!
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Apr 30, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Site Name: London The Stanley Building Posted Date: Mar At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 8th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
Apr 29, 2024
Full time
Site Name: London The Stanley Building Posted Date: Mar At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 8th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
Join us on an extraordinary journey as we continue our remarkable growth. We're seeking a Lead Data Scientist to provide leadership within our Data department. This pivotal role involves guiding our Data Scientists and enhancing our data science capabilities. Lead Data Scientist Location: Tyne & Wear Office requirements: Hybrid / 2-3 days per week Salary: £85,000 - £100,000 Day to Day of the role: Lead and nurture a team of data scientists, fostering a culture of collaboration and innovation. Oversee the integration of data science projects into business processes to improve decision-making and operational efficiency. Engage with senior stakeholders to understand their needs and deliver impactful data-driven insights. Collaborate with other teams to make data science capabilities accessible across the organisation. Work closely with the data engineering team to ensure data requirements for projects are met. Required Skills & Qualifications: Proven experience in leading a data science team and managing complex projects. Expertise in machine learning, statistics, data management, and relevant technologies (e.g., Python, R, SQL, AWS SageMaker, Apache Airflow, Dbt, AWS Kinesis). Strong communication skills with the ability to explain complex data concepts to a non-technical audience. Knowledge of industry standards like CRISP-DM. Experience in iGaming or online betting is a plus but not essential. Benefits: Competitive salary with quarterly bonus. Company merchandise and free meals in the office. Private healthcare and hybrid working options. A culture that supports inclusivity, flexibility, personal development, and mental wellbeing. To apply for the Lead Data Scientist position, please submit your CV and cover letter detailing your relevant experience.
Apr 29, 2024
Full time
Join us on an extraordinary journey as we continue our remarkable growth. We're seeking a Lead Data Scientist to provide leadership within our Data department. This pivotal role involves guiding our Data Scientists and enhancing our data science capabilities. Lead Data Scientist Location: Tyne & Wear Office requirements: Hybrid / 2-3 days per week Salary: £85,000 - £100,000 Day to Day of the role: Lead and nurture a team of data scientists, fostering a culture of collaboration and innovation. Oversee the integration of data science projects into business processes to improve decision-making and operational efficiency. Engage with senior stakeholders to understand their needs and deliver impactful data-driven insights. Collaborate with other teams to make data science capabilities accessible across the organisation. Work closely with the data engineering team to ensure data requirements for projects are met. Required Skills & Qualifications: Proven experience in leading a data science team and managing complex projects. Expertise in machine learning, statistics, data management, and relevant technologies (e.g., Python, R, SQL, AWS SageMaker, Apache Airflow, Dbt, AWS Kinesis). Strong communication skills with the ability to explain complex data concepts to a non-technical audience. Knowledge of industry standards like CRISP-DM. Experience in iGaming or online betting is a plus but not essential. Benefits: Competitive salary with quarterly bonus. Company merchandise and free meals in the office. Private healthcare and hybrid working options. A culture that supports inclusivity, flexibility, personal development, and mental wellbeing. To apply for the Lead Data Scientist position, please submit your CV and cover letter detailing your relevant experience.
Applied Data Science Partners (ADSP) is an innovative data science and AI consultancy based in London. An exciting opportunity has arisen for a Senior Software Engineer to join us. If you enjoy seeing your work deployed into 'real-life' applications, this is the perfect role for you. Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. We're looking for someone with a personable nature who can unlock significant value for our clients through world-class data engineering. In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data engineering solutions. If this sounds like you, we can't wait to meet you. The Role As a Data Engineer your duties will include: • Join our team Engineering Team in a senior role and ensure the successful delivery of projects • Develop, construct, test and maintain architectures (e.g. databases and codebases that process data) • Ensure architectures support business requirements • Discover opportunities for data acquisition, either internally within client organisations or through third-party APIs • Work alongside data scientists to develop and maintain productionised code • Marry systems together through automated scripting, using tools such as Azure Data Factory • Recommend ways to improve data reliability, efficiency and quality • Present findings to clients through written documentation, calls and presentations • Support writing proposals for exciting new opportunities Required Skills • Experience in a similar consultancy environment • 4+ years of experience in a data-centric role • SQL& Python, both to a high level of proficiency • Querying and managing relational databases (SQL Server, Postgres) • Good understanding of cloud deployment (e.g. AWS, Azure) • Linux scripting (e.g. bash) • Version controlling code (e.g. Git) • Willingness to learn new skills and techniques • Excellent communication skills • An eye for detail and a love of puzzle solving
Apr 28, 2024
Full time
Applied Data Science Partners (ADSP) is an innovative data science and AI consultancy based in London. An exciting opportunity has arisen for a Senior Software Engineer to join us. If you enjoy seeing your work deployed into 'real-life' applications, this is the perfect role for you. Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. We're looking for someone with a personable nature who can unlock significant value for our clients through world-class data engineering. In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data engineering solutions. If this sounds like you, we can't wait to meet you. The Role As a Data Engineer your duties will include: • Join our team Engineering Team in a senior role and ensure the successful delivery of projects • Develop, construct, test and maintain architectures (e.g. databases and codebases that process data) • Ensure architectures support business requirements • Discover opportunities for data acquisition, either internally within client organisations or through third-party APIs • Work alongside data scientists to develop and maintain productionised code • Marry systems together through automated scripting, using tools such as Azure Data Factory • Recommend ways to improve data reliability, efficiency and quality • Present findings to clients through written documentation, calls and presentations • Support writing proposals for exciting new opportunities Required Skills • Experience in a similar consultancy environment • 4+ years of experience in a data-centric role • SQL& Python, both to a high level of proficiency • Querying and managing relational databases (SQL Server, Postgres) • Good understanding of cloud deployment (e.g. AWS, Azure) • Linux scripting (e.g. bash) • Version controlling code (e.g. Git) • Willingness to learn new skills and techniques • Excellent communication skills • An eye for detail and a love of puzzle solving