Senior AI Data Scientist

Ofgem is Great Britain’s independent energy regulator. We’re at the forefront of change across the energy sector, driving toward Net Zero whilst 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. And 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 team that’s cross-functional, diverse and knowledgeable. You’ll accelerate data driven decision making, digital transformation, and enable AI and self-service analytics across Ofgem. You’ll be responsible for designing, building and deploying data science & AI models to answer strategic business questions using modern data science technologies such as 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 Data Science & AI models to help inform strategic decisions – assessing current software, architecture and capabilities, sourcing and preparing strategic data sets. You’ll also collaborate in the creation of Data Science & AI Best Practice and provide expertise to other Ofgem departments and external stakeholders. It’s a role that requires an understanding of strategic business initiatives and analysis, data assets, and Data Science product development as well as being able to use data visualisation and storytelling techniques to share conclusions and advise on impacts.

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

Key Responsibilities 

To support the team deliverables, that utilise your expertise to ensure successful outcomes across team members and collaborating teams

• 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 data science stack.

• Ensure high-quality delivery of accurate data science models, and review that proposed solutions meet security, compliance, and governance requirements.

• Monitor model performance, identify drift and implement model retraining when appropriate.

• Use data visualisation and storytelling techniques to share analytic conclusions and their strategic impact.

• Collaborate closely with other teams to manage interdependencies, risks and resourcing to support portfolio delivery.

• Develop AI/ML proof-of-concepts and assist the business with evaluations to measure success and estimate value proposition.