Senior AI Data Scientist

Join to apply for the Senior AI Data Scientist role at Ofgem.

This range is provided by Ofgem. Your actual pay will be based on your skills and experience – talk with your recruiter to learn more.

Open to discussion based on skills and experience.

Ofgem is Great Britain’s independent energy regulator. We’re at the forefront of change across the energy sector, driving toward Net Zero while protecting energy consumers – especially vulnerable people.

We offer a diverse range of flexible working career opportunities: roles that are stimulating and rewarding, where you can get involved in ground‑breaking work. It’s important to us that we recruit from a wide range of professional and personal backgrounds.

Effective use of data and artificial intelligence (AI) are at the centre of our work to bring about a Net Zero energy supply. As the energy sector becomes more digitalised we have a key role to play in ensuring that this is underpinned with best practice and regulation.

As a Senior AI Data Scientist, you’ll be working in our dynamic and growing Data & AI team. It’s a cross‑functional, diverse and knowledgeable team. You’ll accelerate data‑driven decision making, digital transformation and enable AI and self‑service analytics across Ofgem. You’ll design, build and deploy data science & AI models to answer strategic business questions using Python, Azure Machine Learning, Azure AI Services, Copilot Studio and Power BI.

In this role, working closely with the Head of Data Science & AI, you’ll apply data science approaches and AI models across a wide range of energy market data and processes. You’ll embed and launch models to help inform strategic decisions, assess current software, architecture and capabilities, source and prepare strategic data sets, and collaborate in creating Data Science & AI best practice. The role requires an understanding of strategic business initiatives, data assets and product development as well as data visualisation and storytelling techniques to share conclusions and advise on impacts.

It’s essential that you bring strong mathematical, statistical and analytical/research skills and knowledge in developing data science, machine learning, analytics or statistical data products using core data science languages. Your professional expertise should be complemented by highly developed communication and presentation skills along with a methodical approach and a keen focus on quality.

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• Understand strategic business initiatives and analytical questions to answer.
  
• Design, develop, test and deploy data science workflows using Microsoft Azure ML Studio with a Python stack.
  
• Ensure high‑quality delivery of accurate models and review that proposed solutions meet security, compliance and governance requirements.
  
• Monitor model performance, identify drift and implement retraining when appropriate.
  
• Use data visualisation and storytelling techniques to share analytic conclusions and strategic impact.
  
• Collaborate closely with other teams to manage interdependencies, risks and resources to support portfolio delivery.
  
• Develop AI/ML proof‑of‑concepts and assist the business with evaluations to measure success and estimate value proposition.
  

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• Data Science and machine learning capability for Ofgem, including reusable analytics tools and artefacts such as workflows, pipelines, dashboards and actionable insights.
  
• Expertise advising on model selection and algorithms aligned with best practice.
  
• High‑quality delivery of data science work, including accurate models, insightful dashboards and visualisations.
  
• AI/ML proof‑of‑concepts applicable to Ofgem business processes and estimation of value proposition.
  
• Technical documentation and training materials for colleagues.
  

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• Extensive experience with Python and data science packages (e.g., scikit‑learn, pandas, numpy).
  
• Understanding of data science concepts, AI/ML models, evaluation approaches and applications to enhance business processes.
  
• Ability to achieve and maintain SC clearance, requiring residency in the UK for at least 3 of the last 5 years.
  
• Experience using business intelligence tools, preferably Power BI.
  
• Experience applying generative AI and prompting techniques.
  
• Strong understanding of data governance, model observability and compliance frameworks.
  
• Proven ability to deliver secure, scalable and responsible data science solutions.
  
• Microsoft certified: Azure Data Scientist Associate or equivalent experience.
  
• Knowledge of the Microsoft ecosystem, particularly M365, Power Platform and Azure.
  
• Cyber‑security awareness.
  

We’ll assess you against these behaviours during the selection process:

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• Making Effective Decisions
  
• Working Together
  
• Managing a Quality Service
  

Salary: £47,895. Ofgem contributes £13,875 towards the Civil Service Defined Benefit Pension scheme. The role also offers a competitive benefits package including 30 days annual leave after 2 years, training and development opportunities, hybrid working (currently 1 day a week in the office), flexible hours and family‑friendly policies.

This vacancy uses Success Profiles and will assess your behaviours and experience. When you click “Apply now”, you will be redirected to the Civil Service Jobs website. The deadline for application submissions is 23:55 on Monday 17th November 2025.

Applicants will complete personal details, career history and qualifications. A 1250‑word personal statement is required to evidence how you meet the essential and desirable skills and capabilities listed in the role profile. Please ensure your statement demonstrates clearly how you meet each criterion.

Artificial Intelligence can support your application, but all examples and statements must be truthful, factually accurate and derived from your own experience. Plagiarism, including AI‑generated content presented as your own, may lead to withdrawal of applications.

We collect personal information which will be shared with Cifas to prevent fraud and verify identity. Full details are available on the Cifas website. SC clearance is required; guidance can be found in the SC Guidance Pack for Applicants on GOV.UK.

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Mid‑Senior level

Full‑time

Information Technology

Utilities and Government Administration