Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
03/07/2023
Full time
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
Senior Actuarial Data Scientist (Contract) Location: Hybrid / London Contract Length: 6-12 months (potential for extension) We are hiring a Senior Actuarial Data Scientist to support a leading insurance client in leveraging AI & advanced analytics for pricing, underwriting, and claims optimization. This is an exciting opportunity to work at the intersection of actuarial science, machine learning, and data-driven decision-making in a dynamic, fast-paced environment. Key Responsibilities: Develop and implement predictive models for risk assessment, pricing, and reserving using AI/ML techniques Utilize actuarial methodologies and data science tools to enhance claims modeling & loss ratio predictions Work with large structured & unstructured datasets to derive actionable insights Collaborate with actuarial, underwriting, and data teams to integrate AI-driven solutions into business processes Support the development of automated data pipelines for real-time analytics Ensure models comply with regulatory requirements (e.g., Solvency II, IFRS 17) and best actuarial practices Key Skills & Experience: Qualified (FIA, CERA, ASA, etc.) OR strong actuarial background with data science expertise Python / R / SQL proficiency for modeling & data manipulation Experience with Machine Learning techniques (Gradient Boosting, Random Forests, Neural Networks, etc.) Expertise in insurance pricing, reserving, or claims analytics Strong understanding of data engineering principles and ability to work with cloud platforms (AWS, Azure, GCP) Knowledge of regulatory frameworks (Solvency II, IFRS 17, etc.) Excellent stakeholder management skills & ability to communicate complex data insights effectively. Apply with your CV or email me at
18/03/2025
Contractor
Senior Actuarial Data Scientist (Contract) Location: Hybrid / London Contract Length: 6-12 months (potential for extension) We are hiring a Senior Actuarial Data Scientist to support a leading insurance client in leveraging AI & advanced analytics for pricing, underwriting, and claims optimization. This is an exciting opportunity to work at the intersection of actuarial science, machine learning, and data-driven decision-making in a dynamic, fast-paced environment. Key Responsibilities: Develop and implement predictive models for risk assessment, pricing, and reserving using AI/ML techniques Utilize actuarial methodologies and data science tools to enhance claims modeling & loss ratio predictions Work with large structured & unstructured datasets to derive actionable insights Collaborate with actuarial, underwriting, and data teams to integrate AI-driven solutions into business processes Support the development of automated data pipelines for real-time analytics Ensure models comply with regulatory requirements (e.g., Solvency II, IFRS 17) and best actuarial practices Key Skills & Experience: Qualified (FIA, CERA, ASA, etc.) OR strong actuarial background with data science expertise Python / R / SQL proficiency for modeling & data manipulation Experience with Machine Learning techniques (Gradient Boosting, Random Forests, Neural Networks, etc.) Expertise in insurance pricing, reserving, or claims analytics Strong understanding of data engineering principles and ability to work with cloud platforms (AWS, Azure, GCP) Knowledge of regulatory frameworks (Solvency II, IFRS 17, etc.) Excellent stakeholder management skills & ability to communicate complex data insights effectively. Apply with your CV or email me at
A Charity in London are seeking a Lead Data Scientist to manage a team of Data Scientists and develop their Data Science Function. In this role you will lead on the data science function and identify, develop, and deploy a range of data science models, working closely with senior stakeholders across the business to ensure solutions address business needs. The role requires both hands-on data science work as well as experience leading and managing the work of the team. Responsibilities Work with senior stakeholders across all of the directorates to demonstrate the art of the possible and jointly identify impactful data science opportunities. Work closely with the Associate Head of Data Engineering to ensure the new data analytics platform and other tools are fit-for-purpose. Develop and deploy data science models. They currently have two main priority areas: They are developing and deploying a suite of propensity models to identify better cross-sell opportunities of their products. This will involve building the supervised machine learning models, identifying how we iteratively improve the data that the models require, and ensure that impacts are measurable, and that the system is deployed to iteratively improve over time. They are developing techniques using NLP and LLMs on their data to improve operational efficiency and derive better insights as to what their supporters are concerned about. Experience Significant experience in a data science role, including experience of managing more junior data scientists. Experience in thinking strategically about how to develop a data science function. Strong understanding of a range of analytics, data science, and machine learning techniques, and proven experience in deploying models in real-world situations. Extensive programming ability in Python and/or R and strong ability to use SQL, and experience with NLP, ML libraries and frameworks. Demonstrable experience of formulating, solving, and implementing analytical solutions to business problems.
17/03/2025
Full time
A Charity in London are seeking a Lead Data Scientist to manage a team of Data Scientists and develop their Data Science Function. In this role you will lead on the data science function and identify, develop, and deploy a range of data science models, working closely with senior stakeholders across the business to ensure solutions address business needs. The role requires both hands-on data science work as well as experience leading and managing the work of the team. Responsibilities Work with senior stakeholders across all of the directorates to demonstrate the art of the possible and jointly identify impactful data science opportunities. Work closely with the Associate Head of Data Engineering to ensure the new data analytics platform and other tools are fit-for-purpose. Develop and deploy data science models. They currently have two main priority areas: They are developing and deploying a suite of propensity models to identify better cross-sell opportunities of their products. This will involve building the supervised machine learning models, identifying how we iteratively improve the data that the models require, and ensure that impacts are measurable, and that the system is deployed to iteratively improve over time. They are developing techniques using NLP and LLMs on their data to improve operational efficiency and derive better insights as to what their supporters are concerned about. Experience Significant experience in a data science role, including experience of managing more junior data scientists. Experience in thinking strategically about how to develop a data science function. Strong understanding of a range of analytics, data science, and machine learning techniques, and proven experience in deploying models in real-world situations. Extensive programming ability in Python and/or R and strong ability to use SQL, and experience with NLP, ML libraries and frameworks. Demonstrable experience of formulating, solving, and implementing analytical solutions to business problems.
This is an exciting role for an experienced candidate to provide decision science and analytics leadership across the technical organisation within the business. As the Head of AI, you will be delivering best in class data analytics to the business,leadershipand a range of data-driven solutions to complex problems with very high levels of ambiguity using both structured and unstructured data across the enterprise. Job Responsibilities Guides and mentors a team of data scientists to use a wide range data science techniques for descriptive, diagnostic, predictive, and prescriptive analyses. Sets the vision for manipulation and analyses of large and complex data sets. Distils the complexities of analytics (tagging, data, reporting) into layman terms, providing impactful visualisations, actionable insights and test/optimisation opportunities. Leads the team in leveraging machine learning and Artificial Intelligence technologies to drive real time customer centric decision making . Builds out a world class data science team that is aligned to support to the business as key business function. Provides thought leadership to support the key technology initiatives. Utilises expertise to guide the decision on leading edge technical / business approaches and/or develops major new technical tools. Facilitates communication between executives, staff, management, vendors, and other technology resources within and outside of the organization. Shares highly complex information related to areas of expertise. Interacts with senior management to keep abreast of objectives. Interacts with direct reports and peers in management / customers / vendors to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts. Basic Qualifications Master's degree and at least 6 years of experience in a quantitative or computational function. Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc. Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences. Deep knowledge of SQL. Excellent communication skills (both orally and in writing) with a superb ability to communicate technical information to senior executives. Previous experience contributing to financial decisions in the workplace. Previous direct leadership, indirect leadership and/or cross- functional team leadership. If this is the role for you, apply today
15/03/2025
Full time
This is an exciting role for an experienced candidate to provide decision science and analytics leadership across the technical organisation within the business. As the Head of AI, you will be delivering best in class data analytics to the business,leadershipand a range of data-driven solutions to complex problems with very high levels of ambiguity using both structured and unstructured data across the enterprise. Job Responsibilities Guides and mentors a team of data scientists to use a wide range data science techniques for descriptive, diagnostic, predictive, and prescriptive analyses. Sets the vision for manipulation and analyses of large and complex data sets. Distils the complexities of analytics (tagging, data, reporting) into layman terms, providing impactful visualisations, actionable insights and test/optimisation opportunities. Leads the team in leveraging machine learning and Artificial Intelligence technologies to drive real time customer centric decision making . Builds out a world class data science team that is aligned to support to the business as key business function. Provides thought leadership to support the key technology initiatives. Utilises expertise to guide the decision on leading edge technical / business approaches and/or develops major new technical tools. Facilitates communication between executives, staff, management, vendors, and other technology resources within and outside of the organization. Shares highly complex information related to areas of expertise. Interacts with senior management to keep abreast of objectives. Interacts with direct reports and peers in management / customers / vendors to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts. Basic Qualifications Master's degree and at least 6 years of experience in a quantitative or computational function. Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc. Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences. Deep knowledge of SQL. Excellent communication skills (both orally and in writing) with a superb ability to communicate technical information to senior executives. Previous experience contributing to financial decisions in the workplace. Previous direct leadership, indirect leadership and/or cross- functional team leadership. If this is the role for you, apply today
Are you an experienced Data Scientist looking for a role leveraging GenAI tech? Have you honed your skills in machine learning and kept a close eye on the transformative potential of generative AI? Imagine a role where your expertise can drive significant change and help shape the future of an industry We are hiring for a Senior Data Scientist role with a focus on generative AI and recommender systems for a pioneering businesses in online search comparison. This is your chance to work on cutting-edge projects, collaborate with brilliant minds, and see your work directly impact millions of daily users worldwide. You'll be part of a team that's building a new online experience to inspire users with new ideas, leveraging technologies like GenAI and recommender systems to optimize image, video and text content and create a limprove the eading platform in their field. Technical Requirements: Interest in Generative AI and Recommender Systems : Proven experience in developing and implementing recommender system solutions and you'll be exploring Generative AI offerings. This includes Image and Video Content. Strong Programming Skills : Proficiency in Python and SQL. Hands-on Experience with LLMs : Practical knowledge of working with large language models (LLMs) and retrieval-augmented generation (RAG). Advanced Evaluation Techniques : Expertise in A/B testing, human-in-the-loop evaluation, and GenAI quality metrics, ensuring the quality, relevance, and user engagement of AI-generated content. This London-based hybrid role offers a base salary of £90-95k, plus bonuses and a host of other benefits. Apply now for immediate consideration.
15/03/2025
Full time
Are you an experienced Data Scientist looking for a role leveraging GenAI tech? Have you honed your skills in machine learning and kept a close eye on the transformative potential of generative AI? Imagine a role where your expertise can drive significant change and help shape the future of an industry We are hiring for a Senior Data Scientist role with a focus on generative AI and recommender systems for a pioneering businesses in online search comparison. This is your chance to work on cutting-edge projects, collaborate with brilliant minds, and see your work directly impact millions of daily users worldwide. You'll be part of a team that's building a new online experience to inspire users with new ideas, leveraging technologies like GenAI and recommender systems to optimize image, video and text content and create a limprove the eading platform in their field. Technical Requirements: Interest in Generative AI and Recommender Systems : Proven experience in developing and implementing recommender system solutions and you'll be exploring Generative AI offerings. This includes Image and Video Content. Strong Programming Skills : Proficiency in Python and SQL. Hands-on Experience with LLMs : Practical knowledge of working with large language models (LLMs) and retrieval-augmented generation (RAG). Advanced Evaluation Techniques : Expertise in A/B testing, human-in-the-loop evaluation, and GenAI quality metrics, ensuring the quality, relevance, and user engagement of AI-generated content. This London-based hybrid role offers a base salary of £90-95k, plus bonuses and a host of other benefits. Apply now for immediate consideration.
Chief Data Scientist 120k - 150k - London Would you like to join an organisation where data is at the core of the business? Do you want to join a company where you will be backed by the founder to innovate? This company uses models that predict consumer behaviour for B2B consumption. Their success is built on data that isn't available anywhere else. They use their own sources of data to produce highly accurate predictions that nobody else in their sector can achieve. They want you to bring new ideas and use your experience to make their product even better. You will work closely with the senior management team to deliver the overall strategy and roadmap of the company, with the goal of adding value to the data. You will lead a team of data scientists and work with them to manage the full data science lifecycle. If this sounds like the start of something you would like to be part of, please apply.
14/03/2025
Full time
Chief Data Scientist 120k - 150k - London Would you like to join an organisation where data is at the core of the business? Do you want to join a company where you will be backed by the founder to innovate? This company uses models that predict consumer behaviour for B2B consumption. Their success is built on data that isn't available anywhere else. They use their own sources of data to produce highly accurate predictions that nobody else in their sector can achieve. They want you to bring new ideas and use your experience to make their product even better. You will work closely with the senior management team to deliver the overall strategy and roadmap of the company, with the goal of adding value to the data. You will lead a team of data scientists and work with them to manage the full data science lifecycle. If this sounds like the start of something you would like to be part of, please apply.
I'm currently working with a leader within their field who are genuinely looking to make a difference within their industry. They have recently expanded and have an environment where hard work is rewarded i.e progression based on meritocracy. They have many cases where junior individuals have been promoted to a senior manager position and beyond within years of starting their journey with this client. Originally founded in the early 2000's, they've proven to be ahead of their competition but also boast about being able to offer stability as an organisation. They work with professionals to provide them with opportunities to really develop and up skill themselves. This role is for a Data Scientist where you'll be using the latest tech within AWS which means that you'll be working alongside the Data Engineering team and using tools such as (AI, LLM, ML, Databricks and more). As part of this role, you can expect: Salary which is paying up to 65,000, 25 days annual leave, Unparalleled pension scheme, As well as a range of other benefits. My client really understands the importance of work life balance as well as being able to provide employees with the opportunity for development. You can expect regular reviews as well as a sign posted career path to help you achieve your career aspirations. Essential skills: Proven history of working in a Data Science capacity, Exposure to Data technologies such as Python, LLM, ML Techniques (Clustering, Regression), Understanding of normalisation, CI/CD, R and ML Ops Exposure to the AWS Cloud and its Server-less Technologies (Lambda,S3,Redshift). This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - (url removed) or call (phone number removed) for a catch up in complete confidence. Frank Group's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.
14/03/2025
Full time
I'm currently working with a leader within their field who are genuinely looking to make a difference within their industry. They have recently expanded and have an environment where hard work is rewarded i.e progression based on meritocracy. They have many cases where junior individuals have been promoted to a senior manager position and beyond within years of starting their journey with this client. Originally founded in the early 2000's, they've proven to be ahead of their competition but also boast about being able to offer stability as an organisation. They work with professionals to provide them with opportunities to really develop and up skill themselves. This role is for a Data Scientist where you'll be using the latest tech within AWS which means that you'll be working alongside the Data Engineering team and using tools such as (AI, LLM, ML, Databricks and more). As part of this role, you can expect: Salary which is paying up to 65,000, 25 days annual leave, Unparalleled pension scheme, As well as a range of other benefits. My client really understands the importance of work life balance as well as being able to provide employees with the opportunity for development. You can expect regular reviews as well as a sign posted career path to help you achieve your career aspirations. Essential skills: Proven history of working in a Data Science capacity, Exposure to Data technologies such as Python, LLM, ML Techniques (Clustering, Regression), Understanding of normalisation, CI/CD, R and ML Ops Exposure to the AWS Cloud and its Server-less Technologies (Lambda,S3,Redshift). This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - (url removed) or call (phone number removed) for a catch up in complete confidence. Frank Group's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.
Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and has over 1,000 members of staff. They operate across a very specific area of online sales and are a large-scale tech company. They have offices in London and Scotland and are continuing to grow and be productive. They are one of Scotland's best known tech organisations, and they thrive on a positive and welcoming culture, making it one of the best places to work. They are a hybrid organisation and ask all employees to be in office twice a week in London - what days those are, are flexible. You will join a team of 7 Engineers and Scientists to work together to guarantee smooth deployment, monitoring, and scaling of solutions in live production environments. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well as this you will be involved in designing evaluation frameworks to ensure content quality and relevance. You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark / Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience / skill) with hybrid working (2 days per week in office). Additionally, they offer a range of employee benefits including a few different bonuses. This is an opportunity to work with one of the UKs best software businesses so if you think that you could be the right fit and this is the next step in your career, then please apply or contact Matthew MacAlpine at Cathcart Technology on (phone number removed).
14/03/2025
Full time
Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and has over 1,000 members of staff. They operate across a very specific area of online sales and are a large-scale tech company. They have offices in London and Scotland and are continuing to grow and be productive. They are one of Scotland's best known tech organisations, and they thrive on a positive and welcoming culture, making it one of the best places to work. They are a hybrid organisation and ask all employees to be in office twice a week in London - what days those are, are flexible. You will join a team of 7 Engineers and Scientists to work together to guarantee smooth deployment, monitoring, and scaling of solutions in live production environments. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well as this you will be involved in designing evaluation frameworks to ensure content quality and relevance. You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark / Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience / skill) with hybrid working (2 days per week in office). Additionally, they offer a range of employee benefits including a few different bonuses. This is an opportunity to work with one of the UKs best software businesses so if you think that you could be the right fit and this is the next step in your career, then please apply or contact Matthew MacAlpine at Cathcart Technology on (phone number removed).
A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis - opportunity to join a really innovative environment where you'll work with cutting edge technologies. The company: The organisation have been running very successfully now for over twenty years and are recognised as market leaders in their sector. They have a global footprint, and their products are used by millions of users every single day. They are entering a really exciting period of growth, and are recruiting for a number of new positions to the business as they've got pretty big plans for the next few years - so it's genuinely a great time to join. They thrive on a positive and welcoming culture making it a great place to work, so it probably comes as no surprise that they have really low attrition rates, as so many of their staff members have long and successful careers with the business. The role: You'll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. You'll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system robustness and cost efficiency. Key skills and experience: Prior Senior Data Scientist with Machine Learning experience Strong understanding and experience with ML models and ML observability tools Strong Python and SQL experience Spark / Apache Airflow ML frame work experience (PyTorch / TensorFlow / Scikit-Learn) Experience with cloud platforms (preferably AWS) Experience with containerisation technologies Useful information: Their offices are based in central London where they support hybrid working, you'll be expected onsite about twice a week, however they are really flexible about what days. They're offering a very competitive salary from 70,000 - 95,000, depending on experience with great benefits to match (which include multiple bonuses and more!). If you're keen to find out more, please reach out to Matthew MacAlpine at Cathcart Technology.
14/03/2025
Full time
A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis - opportunity to join a really innovative environment where you'll work with cutting edge technologies. The company: The organisation have been running very successfully now for over twenty years and are recognised as market leaders in their sector. They have a global footprint, and their products are used by millions of users every single day. They are entering a really exciting period of growth, and are recruiting for a number of new positions to the business as they've got pretty big plans for the next few years - so it's genuinely a great time to join. They thrive on a positive and welcoming culture making it a great place to work, so it probably comes as no surprise that they have really low attrition rates, as so many of their staff members have long and successful careers with the business. The role: You'll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. You'll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system robustness and cost efficiency. Key skills and experience: Prior Senior Data Scientist with Machine Learning experience Strong understanding and experience with ML models and ML observability tools Strong Python and SQL experience Spark / Apache Airflow ML frame work experience (PyTorch / TensorFlow / Scikit-Learn) Experience with cloud platforms (preferably AWS) Experience with containerisation technologies Useful information: Their offices are based in central London where they support hybrid working, you'll be expected onsite about twice a week, however they are really flexible about what days. They're offering a very competitive salary from 70,000 - 95,000, depending on experience with great benefits to match (which include multiple bonuses and more!). If you're keen to find out more, please reach out to Matthew MacAlpine at Cathcart Technology.
A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis - opportunity to join a really innovative environment where you'll work with cutting edge technologies. The company: The organisation have been running very successfully now for over twenty years and are recognised as market leaders in their sector. They have a global footprint, and their products are used by millions of users every single day. They are entering a really exciting period of growth, and are recruiting for a number of new positions to the business as they've got pretty big plans for the next few years - so it's genuinely a great time to join. They thrive on a positive and welcoming culture making it a great place to work, so it probably comes as no surprise that they have really low attrition rates, as so many of their staff members have long and successful careers with the business. The role: You'll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. You'll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system robustness and cost efficiency. Key skills and experience: * Prior Senior Data Scientist with Machine Learning experience * Strong understanding and experience with ML models and ML observability tools * Strong Python and SQL experience * Spark/Apache Airflow * ML frame work experience (PyTorch/TensorFlow/Scikit-Learn) * Experience with cloud platforms (preferably AWS) * Experience with containerisation technologies Useful information: Their offices are based in central London where they support hybrid working, you'll be expected onsite about twice a week, however they are really flexible about what days. They're offering a very competitive salary from £75,000 - £95,000, depending on experience with great benefits to match (which include multiple bonuses and more!). If you're keen to find out more, please reach out to Matthew MacAlpine at Cathcart Technology.
14/03/2025
Full time
A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis - opportunity to join a really innovative environment where you'll work with cutting edge technologies. The company: The organisation have been running very successfully now for over twenty years and are recognised as market leaders in their sector. They have a global footprint, and their products are used by millions of users every single day. They are entering a really exciting period of growth, and are recruiting for a number of new positions to the business as they've got pretty big plans for the next few years - so it's genuinely a great time to join. They thrive on a positive and welcoming culture making it a great place to work, so it probably comes as no surprise that they have really low attrition rates, as so many of their staff members have long and successful careers with the business. The role: You'll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. You'll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system robustness and cost efficiency. Key skills and experience: * Prior Senior Data Scientist with Machine Learning experience * Strong understanding and experience with ML models and ML observability tools * Strong Python and SQL experience * Spark/Apache Airflow * ML frame work experience (PyTorch/TensorFlow/Scikit-Learn) * Experience with cloud platforms (preferably AWS) * Experience with containerisation technologies Useful information: Their offices are based in central London where they support hybrid working, you'll be expected onsite about twice a week, however they are really flexible about what days. They're offering a very competitive salary from £75,000 - £95,000, depending on experience with great benefits to match (which include multiple bonuses and more!). If you're keen to find out more, please reach out to Matthew MacAlpine at Cathcart Technology.
Are you a seasoned Machine Learning Engineer ready to take the next step in your career by productionising GenAI and Recommender Systems at huge scale? Do you have a passion for machine learning and a keen interest in the transformative potential of generative AI? About the Role: You'll join a global online marketplace as a Lead Machine Learning Engineer in an ML Enablement team. In this role, you'll be at the forefront of productionising GenAI and Recommender Systems at scale. Your expertise will drive significant change and help shape the future of the their business and how hundreds of millions of customers interact with their platform. Key Responsibilities Productionise GenAI and Recommender Systems : Develop and implement scalable solutions for a global platform. MLOps Focus : Utilise MLflow, SageMaker, and machine learning libraries to streamline and optimise ML operations. Collaborate and Innovate : Work with a team of brilliant minds on projects that directly impact hundreds of millions of users worldwide. Technical Requirements Machine Learning Expertise : Previous experience as a Senior Data Scientist or ML Engineer, with hands-on experience deploying ML models in production within a commercial environment. Strong understanding of ML models and their applications. Programming and Frameworks : Proficiency in Python and SQL,. Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-Learn. Cloud and Containerisation : Experience with cloud platforms (AWS, GCP, or Azure) and containerisation technologies (Docker, Kubernetes). MLOps and Responsible AI : Familiarity with CI/CD pipelines, model registries, ML observability tools, responsible AI principles, model monitoring, and data privacy best practices. Compensation : Base salary of £90-95k, plus bonuses and a host of other benefits including ability to travel internationally to global offices, or work from anywhere globally for 1 month per year. Location: London, Hybrid. 2 days on-site per week. Apply now for immediate consideration.
14/03/2025
Full time
Are you a seasoned Machine Learning Engineer ready to take the next step in your career by productionising GenAI and Recommender Systems at huge scale? Do you have a passion for machine learning and a keen interest in the transformative potential of generative AI? About the Role: You'll join a global online marketplace as a Lead Machine Learning Engineer in an ML Enablement team. In this role, you'll be at the forefront of productionising GenAI and Recommender Systems at scale. Your expertise will drive significant change and help shape the future of the their business and how hundreds of millions of customers interact with their platform. Key Responsibilities Productionise GenAI and Recommender Systems : Develop and implement scalable solutions for a global platform. MLOps Focus : Utilise MLflow, SageMaker, and machine learning libraries to streamline and optimise ML operations. Collaborate and Innovate : Work with a team of brilliant minds on projects that directly impact hundreds of millions of users worldwide. Technical Requirements Machine Learning Expertise : Previous experience as a Senior Data Scientist or ML Engineer, with hands-on experience deploying ML models in production within a commercial environment. Strong understanding of ML models and their applications. Programming and Frameworks : Proficiency in Python and SQL,. Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-Learn. Cloud and Containerisation : Experience with cloud platforms (AWS, GCP, or Azure) and containerisation technologies (Docker, Kubernetes). MLOps and Responsible AI : Familiarity with CI/CD pipelines, model registries, ML observability tools, responsible AI principles, model monitoring, and data privacy best practices. Compensation : Base salary of £90-95k, plus bonuses and a host of other benefits including ability to travel internationally to global offices, or work from anywhere globally for 1 month per year. Location: London, Hybrid. 2 days on-site per week. Apply now for immediate consideration.
Senior Data Architect Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to Be Yourself At Work. 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. Your Capco Day/Key Responsibilities You will accompany and lead complex agile consulting projects supporting our clients with data architecture design and delivery. You will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization. You will build a set of services and capabilities that support Capco's vision of Modern Data Architecture and our clients' data journeys to Cloud to enable efficient, transparent and high-quality data management. You will have opportunities to assume greater responsibility for your topics, as well as managing small project teams and supporting Capco Data Architecture business development. Preferred Experience Experience architecting & implementing data strategy, solutions & governance models. Experience of aligning data architecture & strategy across multiple programmes, work streams and business units. Demonstrable experience using Cloud data technologies to develop enterprise Data platforms. Cloud architect/data architect certifications (AWS, GPC, Azure). Knowledge of the relevant procedures, architectures and technologies in one or more of the following topics: Contextual Datamodelling, Entity Relationship Modelling, Logical & Physical Datamodelling and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. Ideally, relevant practical project experience in Financial Services with proven leadership skills and ability to operate in complex environments/projects, managing multiple stakeholders at all levels of the organisation. An understanding or interest in Graph computing and semantic Datamodelling. A credible individual who can communicate effectively to both technical and non-technical audiences. Effective teamworking with very good analytical and conceptual skills and assertiveness. 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 clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and 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.
13/03/2025
Full time
Senior Data Architect Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to Be Yourself At Work. 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. Your Capco Day/Key Responsibilities You will accompany and lead complex agile consulting projects supporting our clients with data architecture design and delivery. You will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization. You will build a set of services and capabilities that support Capco's vision of Modern Data Architecture and our clients' data journeys to Cloud to enable efficient, transparent and high-quality data management. You will have opportunities to assume greater responsibility for your topics, as well as managing small project teams and supporting Capco Data Architecture business development. Preferred Experience Experience architecting & implementing data strategy, solutions & governance models. Experience of aligning data architecture & strategy across multiple programmes, work streams and business units. Demonstrable experience using Cloud data technologies to develop enterprise Data platforms. Cloud architect/data architect certifications (AWS, GPC, Azure). Knowledge of the relevant procedures, architectures and technologies in one or more of the following topics: Contextual Datamodelling, Entity Relationship Modelling, Logical & Physical Datamodelling and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. Ideally, relevant practical project experience in Financial Services with proven leadership skills and ability to operate in complex environments/projects, managing multiple stakeholders at all levels of the organisation. An understanding or interest in Graph computing and semantic Datamodelling. A credible individual who can communicate effectively to both technical and non-technical audiences. Effective teamworking with very good analytical and conceptual skills and assertiveness. 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 clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and 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.
Data Scientist, Databricks, AutoML, MLOps, PySpark A rapidly growing Databricks & Microsoft Partner is looking to hire a Lead Data Scientist to lead on a clients' personalisation project. You will be tasked with driving the design, implementation and leading the project and best practice. Key skills for this role includes; - Strong Senior / Lead Data Science experience - Leading / mentoring Data Scientists / Data Science projects - Excellent tehcncial skills specifically with Databricks and PySpark is essential - AutoML expeirence highly desireable - Strong Statistics knowledge & experience This will be a hybrid role with a couple of days a week required in Leicester, the rest will be able to done from home. The contract will run for an initial 3 - 6 months and will be outside of IR35, paid at circa £500 - £580 per day, depending on skills and experience. For more information on this excellent role and client, please respond with an up to date CV via the links provided.
12/03/2025
Contractor
Data Scientist, Databricks, AutoML, MLOps, PySpark A rapidly growing Databricks & Microsoft Partner is looking to hire a Lead Data Scientist to lead on a clients' personalisation project. You will be tasked with driving the design, implementation and leading the project and best practice. Key skills for this role includes; - Strong Senior / Lead Data Science experience - Leading / mentoring Data Scientists / Data Science projects - Excellent tehcncial skills specifically with Databricks and PySpark is essential - AutoML expeirence highly desireable - Strong Statistics knowledge & experience This will be a hybrid role with a couple of days a week required in Leicester, the rest will be able to done from home. The contract will run for an initial 3 - 6 months and will be outside of IR35, paid at circa £500 - £580 per day, depending on skills and experience. For more information on this excellent role and client, please respond with an up to date CV via the links provided.
Pricing Manager - Stratford - Remote - 70k - 85k I am currently working with a tech focused ecommerce business based in London who are looking for a Pricing Manager to join their team. This is a brand-new role sitting within the BI & Data team, and you will be responsible for leading on pricing initiatives for operations on a global scale. You will be tasked with growing revenue via the implantation of data-driven pricing strategies with the goal of ensure the business can be as profitable as possible. You will work closely with Data Analysts and Data Scientists to design pricing experiments, monitor their outcomes and adjust pricing models accordingly. Salary & Benefits Salary up to 85,000 depending on experience 24 days annual leave plus bank holidays Company pension scheme Healthcare benefits such as healthcare cash plan and EAP offerings Lifestyle benefits such as cycle to work schemes, gym memberships and retail discounts Role & Responsibilities Develop and implement pricing strategies Lead on the creating and implementation of pricing experiments Conduct analysis on pricing performance, providing insights to senior leadership to increase revenue Create a long-term pricing roadmap Build commercial pricing models What do I need to apply Experience in a pricing strategy focused role Knowledge of pricing and pricing models Knowledge of statistical experimentation methods (A/B, elasticity) Experience using SQL to extract data from data sources Data visualisation or other coding experience would be beneficial My client have very limited interview slots and they are looking to fill this vacancy within the next 2 weeks. I have limited slots for 1st stage interviews next week so if you're interest, get in touch ASAP with a copy of your most up to date CV and email me at (url removed) or call me on (phone number removed). Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)
12/03/2025
Full time
Pricing Manager - Stratford - Remote - 70k - 85k I am currently working with a tech focused ecommerce business based in London who are looking for a Pricing Manager to join their team. This is a brand-new role sitting within the BI & Data team, and you will be responsible for leading on pricing initiatives for operations on a global scale. You will be tasked with growing revenue via the implantation of data-driven pricing strategies with the goal of ensure the business can be as profitable as possible. You will work closely with Data Analysts and Data Scientists to design pricing experiments, monitor their outcomes and adjust pricing models accordingly. Salary & Benefits Salary up to 85,000 depending on experience 24 days annual leave plus bank holidays Company pension scheme Healthcare benefits such as healthcare cash plan and EAP offerings Lifestyle benefits such as cycle to work schemes, gym memberships and retail discounts Role & Responsibilities Develop and implement pricing strategies Lead on the creating and implementation of pricing experiments Conduct analysis on pricing performance, providing insights to senior leadership to increase revenue Create a long-term pricing roadmap Build commercial pricing models What do I need to apply Experience in a pricing strategy focused role Knowledge of pricing and pricing models Knowledge of statistical experimentation methods (A/B, elasticity) Experience using SQL to extract data from data sources Data visualisation or other coding experience would be beneficial My client have very limited interview slots and they are looking to fill this vacancy within the next 2 weeks. I have limited slots for 1st stage interviews next week so if you're interest, get in touch ASAP with a copy of your most up to date CV and email me at (url removed) or call me on (phone number removed). Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)
Senior Risk Scientist Opportunity in Bristol, UK Location: Bristol, UK (Hybrid 2 days in the office) Permanent role Salary: 80,0000- 95,000 dependant on experience About the Company: My client is a leading player in the cyber reinsurance industry, focused on innovative solutions to manage and mitigate cyber risks. Utilising cutting-edge technology and data analytics, they develop proprietary models that drive the business forward. The Role: Seeking an experienced and highly skilled Senior Risk Scientist to join the dynamic team in Bristol. In this crucial role, you will be at the forefront of developing and refining proprietary cyber risk model, Cybertooth. If you have a strong background in large-scale stochastic model development, high-performance scientific computing, and expertise in statistical modelling and probability, this could be the perfect opportunity for you. Key Responsibilities: Contribute significantly to the development and enhancement of Cybertooth, ensuring its reliability in assessing cyber risks. Collaborate with cross-functional teams to integrate new data sources and methodologies. Conduct advanced statistical analyses, industry threat assessments, and reporting to support cyber risk evaluation. Optimise the computational performance and scalability of Cybertooth simulations. Provide technical leadership and mentorship to junior team members. Stay informed on the latest advancements in cyber risk measurement, data science, and high-performance computing. What We're Looking For: At least 5 years of experience in a related field, such as risk/catastrophe modelling, quantitative finance, or data science, with a focus on large-scale simulations. Proven expertise in stochastic model development and high-performance scientific computing. Proficiency in scientific Python; experience with Spark, CUDA, SQL, and Databricks is a plus. Strong problem-solving abilities and the capacity to work both independently and collaboratively. Excellent communication skills, with the ability to present complex technical information to non-technical audiences. A degree in a STEM field or equivalent industrial experience. Why Join Us? Competitive salary and benefits package, including a 5% pension, 28 days of holiday plus bank holidays, private medical insurance, and death-in-service benefit. Opportunity to work with cutting-edge technology and innovative solutions in the cyber reinsurance industry. A collaborative and inclusive work environment. Career growth and development opportunities. This is an exciting opportunity to contribute to a forward-thinking company that is shaping the future of cyber risk management. If you're ready to take on a new challenge and make a significant impact, we'd love to hear from you!
11/03/2025
Full time
Senior Risk Scientist Opportunity in Bristol, UK Location: Bristol, UK (Hybrid 2 days in the office) Permanent role Salary: 80,0000- 95,000 dependant on experience About the Company: My client is a leading player in the cyber reinsurance industry, focused on innovative solutions to manage and mitigate cyber risks. Utilising cutting-edge technology and data analytics, they develop proprietary models that drive the business forward. The Role: Seeking an experienced and highly skilled Senior Risk Scientist to join the dynamic team in Bristol. In this crucial role, you will be at the forefront of developing and refining proprietary cyber risk model, Cybertooth. If you have a strong background in large-scale stochastic model development, high-performance scientific computing, and expertise in statistical modelling and probability, this could be the perfect opportunity for you. Key Responsibilities: Contribute significantly to the development and enhancement of Cybertooth, ensuring its reliability in assessing cyber risks. Collaborate with cross-functional teams to integrate new data sources and methodologies. Conduct advanced statistical analyses, industry threat assessments, and reporting to support cyber risk evaluation. Optimise the computational performance and scalability of Cybertooth simulations. Provide technical leadership and mentorship to junior team members. Stay informed on the latest advancements in cyber risk measurement, data science, and high-performance computing. What We're Looking For: At least 5 years of experience in a related field, such as risk/catastrophe modelling, quantitative finance, or data science, with a focus on large-scale simulations. Proven expertise in stochastic model development and high-performance scientific computing. Proficiency in scientific Python; experience with Spark, CUDA, SQL, and Databricks is a plus. Strong problem-solving abilities and the capacity to work both independently and collaboratively. Excellent communication skills, with the ability to present complex technical information to non-technical audiences. A degree in a STEM field or equivalent industrial experience. Why Join Us? Competitive salary and benefits package, including a 5% pension, 28 days of holiday plus bank holidays, private medical insurance, and death-in-service benefit. Opportunity to work with cutting-edge technology and innovative solutions in the cyber reinsurance industry. A collaborative and inclusive work environment. Career growth and development opportunities. This is an exciting opportunity to contribute to a forward-thinking company that is shaping the future of cyber risk management. If you're ready to take on a new challenge and make a significant impact, we'd love to hear from you!
Keystone Recruitment Partners are delighted to be working exclusively for our International Data Science Consultancy client working with some of the world's most recognisable brand companies providing creative and elegant data science solutions to real-world supply chain, manufacturing and logistics problems. Our client pride themselves on being at the forefront of AI, Data, Software and Technology providing their clients with real-world efficiency gains and savings. They are looking for Senior and Lead Data Science professionals to join their growing, globally dispersed team of experts in various fields. This role will be fully remote and will be on a freelance 12 month rolling contract with an annual remuneration review. The successful candidate will have a range of skills including: 1) Proven track record of pioneering data science techniques in a commercial setting. 2) Fluent in Italian or French (And English) 3) Consultancy experience 4) Supply Chain, Manufacturing or Logistics expertise with proven track record in solving complex problems in these fields through data science/AI/software. 5) Technical expertise with Python, R, SQL, Azure and evidence of continuous improvement and learning on the latest software and technology packages. In return our client are offeirng substantial remuneration package depending on experience of between (phone number removed) per annum. There is also a bonus. The client operates a fully remote policy with very occasional travel (one annual trip of under 1 week) to European cities for team training.
11/03/2025
Full time
Keystone Recruitment Partners are delighted to be working exclusively for our International Data Science Consultancy client working with some of the world's most recognisable brand companies providing creative and elegant data science solutions to real-world supply chain, manufacturing and logistics problems. Our client pride themselves on being at the forefront of AI, Data, Software and Technology providing their clients with real-world efficiency gains and savings. They are looking for Senior and Lead Data Science professionals to join their growing, globally dispersed team of experts in various fields. This role will be fully remote and will be on a freelance 12 month rolling contract with an annual remuneration review. The successful candidate will have a range of skills including: 1) Proven track record of pioneering data science techniques in a commercial setting. 2) Fluent in Italian or French (And English) 3) Consultancy experience 4) Supply Chain, Manufacturing or Logistics expertise with proven track record in solving complex problems in these fields through data science/AI/software. 5) Technical expertise with Python, R, SQL, Azure and evidence of continuous improvement and learning on the latest software and technology packages. In return our client are offeirng substantial remuneration package depending on experience of between (phone number removed) per annum. There is also a bonus. The client operates a fully remote policy with very occasional travel (one annual trip of under 1 week) to European cities for team training.
Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Ready to explore a career path? Start your journey. Data drives our business. Come and join our Analytic team and take part in defining and distilling that data for key corporate decision makers and our clients around the world. About the Role: The Amex GBT Analytics team is actively seeking a qualified candidate to fulfil the role of Lead Data Analyst/ Scientist. This critical position demands a self-motivated, results-oriented individual, with strong analytical skills to join our global team. Using advanced analytical techniques, you will support the business teams through critical projects and influence decisions based on data and analyses that help deliver results. You will have the opportunity to work on a broad spectrum of areas that include in-product messaging, marketing operations, campaign performance optimization, and personalized marketing framework. This position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join Amex GBT, as we define the future of business travel as we lead the industry into a new era. What you will do Passionate storytelling and bringing data to life by partnering with key stakeholders. Design and build models to prioritize and classify critical touchpoints along the customer journey to increase internal guidance and prioritization. Lead strategic and quantitative analysis to support and enable the continued growth critical to Amex GBT. Influence partners and senior leaders by communicating across various levels of the organization in a clear and compelling way. Maintain, consolidate, and enrich current reports/dashboards to visualize data analysis and insights. Support ongoing needs for analytical/ operational reporting, and day-to-day needs that impact our Sales and Marketing teams. Support data migrations, updating links, and ratifying and consolidating existing reports. Identify, prioritize, and drive operational improvements. What We're Looking For Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Validated experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of work experience in a relevant business environment. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Strong experience using Tableau to pull data from various sources, develop and publish automated reports and dashboards. Deep understanding of data and reporting requirements, with the ability to collaborate on analytics models, reporting tools, and return on investment analysis. Capacity to thrive in a fast-paced environment and embrace ambiguity while maintaining a sharp focus on delivering results. Location United Kingdom The Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and more. Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with global tuition assistance, access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Diversity, Equity, and Inclusion in every aspect of our business at GBT. You can connect with colleagues through our global Inclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. Wellbeing resources to support mental and emotional health for you and your immediate family. And much more! This role is for Egencia LLC ("Egencia" or the "Company"), a member of the American Express Global Business Travel family of companies. A ll applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law. Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult GBT Recruitment Privacy Statement . What if I don't meet every requirement? If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
01/03/2025
Full time
Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Ready to explore a career path? Start your journey. Data drives our business. Come and join our Analytic team and take part in defining and distilling that data for key corporate decision makers and our clients around the world. About the Role: The Amex GBT Analytics team is actively seeking a qualified candidate to fulfil the role of Lead Data Analyst/ Scientist. This critical position demands a self-motivated, results-oriented individual, with strong analytical skills to join our global team. Using advanced analytical techniques, you will support the business teams through critical projects and influence decisions based on data and analyses that help deliver results. You will have the opportunity to work on a broad spectrum of areas that include in-product messaging, marketing operations, campaign performance optimization, and personalized marketing framework. This position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join Amex GBT, as we define the future of business travel as we lead the industry into a new era. What you will do Passionate storytelling and bringing data to life by partnering with key stakeholders. Design and build models to prioritize and classify critical touchpoints along the customer journey to increase internal guidance and prioritization. Lead strategic and quantitative analysis to support and enable the continued growth critical to Amex GBT. Influence partners and senior leaders by communicating across various levels of the organization in a clear and compelling way. Maintain, consolidate, and enrich current reports/dashboards to visualize data analysis and insights. Support ongoing needs for analytical/ operational reporting, and day-to-day needs that impact our Sales and Marketing teams. Support data migrations, updating links, and ratifying and consolidating existing reports. Identify, prioritize, and drive operational improvements. What We're Looking For Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Validated experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of work experience in a relevant business environment. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Strong experience using Tableau to pull data from various sources, develop and publish automated reports and dashboards. Deep understanding of data and reporting requirements, with the ability to collaborate on analytics models, reporting tools, and return on investment analysis. Capacity to thrive in a fast-paced environment and embrace ambiguity while maintaining a sharp focus on delivering results. Location United Kingdom The Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and more. Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with global tuition assistance, access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Diversity, Equity, and Inclusion in every aspect of our business at GBT. You can connect with colleagues through our global Inclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. Wellbeing resources to support mental and emotional health for you and your immediate family. And much more! This role is for Egencia LLC ("Egencia" or the "Company"), a member of the American Express Global Business Travel family of companies. A ll applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law. Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult GBT Recruitment Privacy Statement . What if I don't meet every requirement? If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
The Role: Senior Bioinformatician Location: Cambridge Salary: £60K Are you looking for a new role where you can make a difference? In need of a more stimulating and interesting role? Do you want to push the boundaries of innovation and development?Great! This might be the role for you!We have partnered with one of the most exciting life sciences businesses in the UK who is on a mission to break down barriers and deliver lifesaving medical solutions. The business is experiencing exponential growth and they are looking for a seasoned Senior Bioinformatician to join their team in Cambridge on a full-time permanent basis. As the successful candidate, you will be integral to the overall success of the operation, offering bioinformatics support for lab scientists, and drive computational projects, in areas including single-cell sequencing, machine learning, protein 3D structure, etc. On offer is a very competitive basic salary and: Benefits: Inclusive and supportive work environment Career progression opportunities Ongoing training and support Health cash plan Private medical insurance Critical illness coverage Life assurance Your Responsibilities: Provide bioinformatics support for lab scientists. Driving computational projects, using a wide range of software tools and techniques. Summarise results and graphical representation of statistical analyses. Process data generated with recent DNA sequencing technologies. Engage in bioinformatics software development projects Create web-based user interfaces Collaborating with various stakeholders to drive continuous improvement and quality. Your Skills: PhD in Bioinformatics or a related field Experience in bioinformatics software development Knowledge of Machine Learning Excellent programming skills in Python, R, and/or Java Strong analytical and problem-solving skills Ability to work independently and as part of a team Excellent communication skills To be considered for this position, please attach a copy of your most recent and up to date CV.
19/08/2023
Full time
The Role: Senior Bioinformatician Location: Cambridge Salary: £60K Are you looking for a new role where you can make a difference? In need of a more stimulating and interesting role? Do you want to push the boundaries of innovation and development?Great! This might be the role for you!We have partnered with one of the most exciting life sciences businesses in the UK who is on a mission to break down barriers and deliver lifesaving medical solutions. The business is experiencing exponential growth and they are looking for a seasoned Senior Bioinformatician to join their team in Cambridge on a full-time permanent basis. As the successful candidate, you will be integral to the overall success of the operation, offering bioinformatics support for lab scientists, and drive computational projects, in areas including single-cell sequencing, machine learning, protein 3D structure, etc. On offer is a very competitive basic salary and: Benefits: Inclusive and supportive work environment Career progression opportunities Ongoing training and support Health cash plan Private medical insurance Critical illness coverage Life assurance Your Responsibilities: Provide bioinformatics support for lab scientists. Driving computational projects, using a wide range of software tools and techniques. Summarise results and graphical representation of statistical analyses. Process data generated with recent DNA sequencing technologies. Engage in bioinformatics software development projects Create web-based user interfaces Collaborating with various stakeholders to drive continuous improvement and quality. Your Skills: PhD in Bioinformatics or a related field Experience in bioinformatics software development Knowledge of Machine Learning Excellent programming skills in Python, R, and/or Java Strong analytical and problem-solving skills Ability to work independently and as part of a team Excellent communication skills To be considered for this position, please attach a copy of your most recent and up to date CV.
My Client are seeking a Senior Data Scientist to join the team on a permanent basis specialising in ontology, knowledge engineering, knowledge graphs, and more. This role is not for the faint-hearted but for those energised by challenges, inspired by innovation, and driven by real-world impact. The role can pay up to £80,000 per annum for the right person so please click apply if you feel the below suits your skill set: Qualifications: Education: MSc/PhD in Data Science, Computer Science, or related field Experience: 5-7 years of hands-on experience in the industrySkills: Deep knowledge in First-Order Logic, Descriptive Logic, Web Ontology Language (OWL) Proficiency in graph neural networks (GNN), network science, and semantic networks Mastery over task-specific finetuning, including data extraction, classification, and generation A comprehensive understanding of traditional statistics, Machine Learning (ML), and multi-objective optimisation techniques Excellent communication and written skills Passion for continuous learning and collaboration as a team player Tools: Python: Structured workflows using environments, Conda, Git, GitFlow, etc.Databases: Traditional (SQL) and Graph Databases (openCypher, Gremlin, SPARQL) Technologies: MLOps/LLMOps, Protege, Cloud environments (Azure/AWS)
15/08/2023
Full time
My Client are seeking a Senior Data Scientist to join the team on a permanent basis specialising in ontology, knowledge engineering, knowledge graphs, and more. This role is not for the faint-hearted but for those energised by challenges, inspired by innovation, and driven by real-world impact. The role can pay up to £80,000 per annum for the right person so please click apply if you feel the below suits your skill set: Qualifications: Education: MSc/PhD in Data Science, Computer Science, or related field Experience: 5-7 years of hands-on experience in the industrySkills: Deep knowledge in First-Order Logic, Descriptive Logic, Web Ontology Language (OWL) Proficiency in graph neural networks (GNN), network science, and semantic networks Mastery over task-specific finetuning, including data extraction, classification, and generation A comprehensive understanding of traditional statistics, Machine Learning (ML), and multi-objective optimisation techniques Excellent communication and written skills Passion for continuous learning and collaboration as a team player Tools: Python: Structured workflows using environments, Conda, Git, GitFlow, etc.Databases: Traditional (SQL) and Graph Databases (openCypher, Gremlin, SPARQL) Technologies: MLOps/LLMOps, Protege, Cloud environments (Azure/AWS)
The Role: Senior Full Stack Developer The Team: Technology Hiring Manager: Director of Technology Hours: Full time 37.5 hours per week Location: Nottingham - Hybrid working Medichecks launched the UK's first direct-to-consumer blood testing company in the UK and created a market where there was none. As well as the continued growth of our B2C business we now see considerable opportunity to grow in the B2B and B2B2C space through our technology platform, Plasma. Our vision is to be part of everyone's journey to better health. At Medichecks we're building a healthcare platform for the future. We're a team of medics, designers, engineers and communicators who are intent on bringing our vision to life. We'd like to hear from people who want to use their skills and knowledge to improve peoples' lives and help us create real change in the way that blood testing and insights can be delivered. Purpose of Role To be part of the key team building software and devops solutions to facilitate the growth of Medicheck's business. Bring experience and knowledge in the tools and technologies used in Medicheck's tech stack to the Medichecks team and help the growth of the team using your skills and knowledge. Our Technology Team Our team have come to us from a range of backgrounds and places, from start-ups and agencies to online banks, we're looking for people that enjoy learning new things and are motivated to build new software, solve problems and do great work. We are growing fast. To help with our growth we are structuring ourselves into chapters' of expertise and working in small interdisciplinary teams on individual projects. With the freedom to learn and shift specialisms over time. Our feature teams are cross-functional. You'll be collaborating with product owners, doctors, marketers, web engineers, data scientists, business analysts, and more! Together you'll deliver feature updates that provide value and features to our customers and partners. Our Technology Stack You'll be working on greenfield projects, building our systems using the following tools and technologies: Golang for our applications and microservices Kubernetes and Docker for orchestration and containerisation AWS for our infrastructure Vue.js for our presentation layers. We know you will be keen to stay on top of new technology and our personal development approach will support you with this. Key Challenges Delivering outstanding solutions whilst maintaining strict patient confidentiality. Deliver critical results in a clear and informed manner. Innovating to make people's lives better. Job Tasks and Responsibilities This is an exciting time to join us, as we re-imagine how we work and deliver technology. You will enjoy the freedom to learn, working with some of the latest web technologies while building mission-critical applications. You must have a passion for writing solid well-structured software using modern development practices. You'll be working with the team to refine the process and technical direction, and mentor junior members of the team through the implementation and ensure best practices are maintained, solving complex problems and programming in a variety of languages. You will work on projects, ranging from maintaining our existing products to building new solutions using a variety of technologies to deliver and support web-based, microservice driven applications. Key Skills and Knowledge You will have strong experience working on the full stack of a technology product. You care about customer outcomes and are product focused. You want to make data-informed decisions. You're comfortable working in a team that deals with ambiguity. You're interested in distributed systems and writing resilient software. You will have a passion for; and understand the importance of, software patterns. You will have experience within our technical stack (Go, Vue.js, AWS, Terraform, postgreSQL.) *How we work We have adopted a flexible hybrid approach to working in both the office and at home, having seen the benefits of both for everyone during the last year. You will predominantly work from home, but sometimes we will get together to collaborate, or for 121s (minimum 1 day/month in Nottingham office). We offer flexible working around our core business hours and trust you to work enough hours to do your job well, at times that suit you and your team. Medichecks people, perks and culture We are committed to making Medichecks a great place to work and have shaped our people strategy around our colleagues' feedback. We have a great range of perks including buying/selling holidays, free stuff and discounts, access to health services and the opportunity to give back to the community.
14/08/2023
Full time
The Role: Senior Full Stack Developer The Team: Technology Hiring Manager: Director of Technology Hours: Full time 37.5 hours per week Location: Nottingham - Hybrid working Medichecks launched the UK's first direct-to-consumer blood testing company in the UK and created a market where there was none. As well as the continued growth of our B2C business we now see considerable opportunity to grow in the B2B and B2B2C space through our technology platform, Plasma. Our vision is to be part of everyone's journey to better health. At Medichecks we're building a healthcare platform for the future. We're a team of medics, designers, engineers and communicators who are intent on bringing our vision to life. We'd like to hear from people who want to use their skills and knowledge to improve peoples' lives and help us create real change in the way that blood testing and insights can be delivered. Purpose of Role To be part of the key team building software and devops solutions to facilitate the growth of Medicheck's business. Bring experience and knowledge in the tools and technologies used in Medicheck's tech stack to the Medichecks team and help the growth of the team using your skills and knowledge. Our Technology Team Our team have come to us from a range of backgrounds and places, from start-ups and agencies to online banks, we're looking for people that enjoy learning new things and are motivated to build new software, solve problems and do great work. We are growing fast. To help with our growth we are structuring ourselves into chapters' of expertise and working in small interdisciplinary teams on individual projects. With the freedom to learn and shift specialisms over time. Our feature teams are cross-functional. You'll be collaborating with product owners, doctors, marketers, web engineers, data scientists, business analysts, and more! Together you'll deliver feature updates that provide value and features to our customers and partners. Our Technology Stack You'll be working on greenfield projects, building our systems using the following tools and technologies: Golang for our applications and microservices Kubernetes and Docker for orchestration and containerisation AWS for our infrastructure Vue.js for our presentation layers. We know you will be keen to stay on top of new technology and our personal development approach will support you with this. Key Challenges Delivering outstanding solutions whilst maintaining strict patient confidentiality. Deliver critical results in a clear and informed manner. Innovating to make people's lives better. Job Tasks and Responsibilities This is an exciting time to join us, as we re-imagine how we work and deliver technology. You will enjoy the freedom to learn, working with some of the latest web technologies while building mission-critical applications. You must have a passion for writing solid well-structured software using modern development practices. You'll be working with the team to refine the process and technical direction, and mentor junior members of the team through the implementation and ensure best practices are maintained, solving complex problems and programming in a variety of languages. You will work on projects, ranging from maintaining our existing products to building new solutions using a variety of technologies to deliver and support web-based, microservice driven applications. Key Skills and Knowledge You will have strong experience working on the full stack of a technology product. You care about customer outcomes and are product focused. You want to make data-informed decisions. You're comfortable working in a team that deals with ambiguity. You're interested in distributed systems and writing resilient software. You will have a passion for; and understand the importance of, software patterns. You will have experience within our technical stack (Go, Vue.js, AWS, Terraform, postgreSQL.) *How we work We have adopted a flexible hybrid approach to working in both the office and at home, having seen the benefits of both for everyone during the last year. You will predominantly work from home, but sometimes we will get together to collaborate, or for 121s (minimum 1 day/month in Nottingham office). We offer flexible working around our core business hours and trust you to work enough hours to do your job well, at times that suit you and your team. Medichecks people, perks and culture We are committed to making Medichecks a great place to work and have shaped our people strategy around our colleagues' feedback. We have a great range of perks including buying/selling holidays, free stuff and discounts, access to health services and the opportunity to give back to the community.
