Data Scientist (Modelling Analyst)
| Posting date: | 05 February 2026 |
|---|---|
| Salary: | £45,544 to £49,523 per year |
| Hours: | Full time |
| Closing date: | 16 February 2026 |
| Location: | Manchester Regional Centre - Three New Bailey Liverpool Regional Centre - Water Street |
| Remote working: | Hybrid - work remotely up to 3 days per week |
| Company: | HMRC |
| Job type: | Permanent |
| Job reference: | 446504 |
Summary
Job description
This is an exciting opportunity for senior analysts to join the Analytics Team—one of four specialist Data Science teams in HMRC’s technology area. The team builds innovative data science solutions that solve real business problems by exploiting HMRC’s rich and complex datasets. As HMRC’s Centre of Excellence for Predictive Analytics (PA) and narrow Artificial Intelligence (AI), the team uses machine learning techniques to build robust, ethical, and high-performing models that support better decision-making and improve targeting. The role also involves helping HMRC make better use of underutilised data and developing new insights through modelling, advanced analytical methods, and innovative data extraction approaches.
Projects span a wide range of operational areas, including supervised ML for risk targeting, linking disparate datasets to identify potential fraud or non-compliance, extracting insights from non-standard data sources, and developing analytical dashboards and applications. You will work closely with subject matter experts and operational teams, applying the right analytical techniques to deliver evidence-based recommendations. You will also help scope, design, and deliver high-quality analyses using project-based working, while providing advice on advanced analytical techniques across HMRC and wider government.
Person specification
We are looking for experienced, proactive data scientists who can contribute to HMRC’s growing portfolio of AI, ML, and predictive analytics projects. You will bring strong technical expertise, practical experience of applying modelling techniques, and the confidence to work with stakeholders across the business to deliver meaningful insight.
You will:
Build and deploy supervised ML models that improve targeting and decision-making across HMRC.
Link and manipulate complex, disparate datasets to uncover relationships, patterns, and insights relevant to fraud, error, and compliance.
Apply advanced analytical and modelling techniques, selecting the right methods to answer specific business questions.
Prepare, manipulate, and analyse large datasets using robust coding practices and reproducible workflows.
Use innovative methods to extract and process data from various sources, including unstructured formats.
Develop insights and communicate them clearly through dashboards, apps, or written reports (e.g., using R Shiny or similar tools).
Use project-based working tools to plan and deliver high-quality analytical outputs.
Collaborate with operational and policy colleagues to ensure your analysis supports strategic and operational priorities.
Provide advice, guidance, and peer support to colleagues on the use of advanced analytical techniques.
Demonstrate intellectual curiosity and a commitment to professional development in AI/ML, statistics, and broader data science techniques.
Essential Criteria:
To be successful in this role, you must meet the technical requirements for Government Digital and Data (Data Scientist) roles and hold qualifications suitable for later badging into either GORS or GSG.
You must demonstrate:
Strong coding skills to prepare, manipulate, and analyse large datasets using reproducible, high-quality data science practices.
Proven experience applying advanced analytical or machine learning techniques to deliver meaningful insights and predictive models.
Ability to choose and justify appropriate analytical methods, including when to apply AI/ML approaches.
Track record of delivering high impact analysis that informs strategic or operational decisions.
Experience of planning and delivering analytical projects with robust quality assurance while in a complex organisation.
A numerate degree meeting GORS or GSG eligibility, demonstrating strong quantitative capability.
Profession frameworks: More information on the analytical profession frameworks and broad eligibility criteria at Senior Officer level can be found at the following pages.
The Data Scientist skills required are taken from the Government Digital and Data Profession Capability Framework (HEO/SEO): https://ddat-capability-framework.service.gov.uk/role/data-scientist
GORS framework (https://www.gov.uk/government/organisations/civil-service-government-operational-research-service): eligibility is a minimum 2i numerate degree or Masters with at least 50% numerate coverage.
GSG framework (https://analysisfunction.civilservice.gov.uk/government-statistical-service-and-statistician-group/gss-careers-and-learning/joining-us/): eligibility is a minimum second-class degree in “a numerate discipline, computer science or IT equivalent which demonstrates core statistical skills.”
Please get in touch with the vacancy holder if unsure about any elements of eligibility or technical frameworks.
This is an exciting opportunity for senior analysts to join the Analytics Team—one of four specialist Data Science teams in HMRC’s technology area. The team builds innovative data science solutions that solve real business problems by exploiting HMRC’s rich and complex datasets. As HMRC’s Centre of Excellence for Predictive Analytics (PA) and narrow Artificial Intelligence (AI), the team uses machine learning techniques to build robust, ethical, and high-performing models that support better decision-making and improve targeting. The role also involves helping HMRC make better use of underutilised data and developing new insights through modelling, advanced analytical methods, and innovative data extraction approaches.
Projects span a wide range of operational areas, including supervised ML for risk targeting, linking disparate datasets to identify potential fraud or non-compliance, extracting insights from non-standard data sources, and developing analytical dashboards and applications. You will work closely with subject matter experts and operational teams, applying the right analytical techniques to deliver evidence-based recommendations. You will also help scope, design, and deliver high-quality analyses using project-based working, while providing advice on advanced analytical techniques across HMRC and wider government.
Person specification
We are looking for experienced, proactive data scientists who can contribute to HMRC’s growing portfolio of AI, ML, and predictive analytics projects. You will bring strong technical expertise, practical experience of applying modelling techniques, and the confidence to work with stakeholders across the business to deliver meaningful insight.
You will:
Build and deploy supervised ML models that improve targeting and decision-making across HMRC.
Link and manipulate complex, disparate datasets to uncover relationships, patterns, and insights relevant to fraud, error, and compliance.
Apply advanced analytical and modelling techniques, selecting the right methods to answer specific business questions.
Prepare, manipulate, and analyse large datasets using robust coding practices and reproducible workflows.
Use innovative methods to extract and process data from various sources, including unstructured formats.
Develop insights and communicate them clearly through dashboards, apps, or written reports (e.g., using R Shiny or similar tools).
Use project-based working tools to plan and deliver high-quality analytical outputs.
Collaborate with operational and policy colleagues to ensure your analysis supports strategic and operational priorities.
Provide advice, guidance, and peer support to colleagues on the use of advanced analytical techniques.
Demonstrate intellectual curiosity and a commitment to professional development in AI/ML, statistics, and broader data science techniques.
Essential Criteria:
To be successful in this role, you must meet the technical requirements for Government Digital and Data (Data Scientist) roles and hold qualifications suitable for later badging into either GORS or GSG.
You must demonstrate:
Strong coding skills to prepare, manipulate, and analyse large datasets using reproducible, high-quality data science practices.
Proven experience applying advanced analytical or machine learning techniques to deliver meaningful insights and predictive models.
Ability to choose and justify appropriate analytical methods, including when to apply AI/ML approaches.
Track record of delivering high impact analysis that informs strategic or operational decisions.
Experience of planning and delivering analytical projects with robust quality assurance while in a complex organisation.
A numerate degree meeting GORS or GSG eligibility, demonstrating strong quantitative capability.
Profession frameworks: More information on the analytical profession frameworks and broad eligibility criteria at Senior Officer level can be found at the following pages.
The Data Scientist skills required are taken from the Government Digital and Data Profession Capability Framework (HEO/SEO): https://ddat-capability-framework.service.gov.uk/role/data-scientist
GORS framework (https://www.gov.uk/government/organisations/civil-service-government-operational-research-service): eligibility is a minimum 2i numerate degree or Masters with at least 50% numerate coverage.
GSG framework (https://analysisfunction.civilservice.gov.uk/government-statistical-service-and-statistician-group/gss-careers-and-learning/joining-us/): eligibility is a minimum second-class degree in “a numerate discipline, computer science or IT equivalent which demonstrates core statistical skills.”
Please get in touch with the vacancy holder if unsure about any elements of eligibility or technical frameworks.