Senior data scientist
Successful candidates may be based in any of our office locations – Cardiff, Glasgow, or London. We especially welcome applicants from Cardiff and Glasgow.
Job Summary 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. Job Description 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.
- Data Science and machine learning capability for Ofgem, which may include reusable analytics tools and artefacts, such as, data science workflows, ML pipelines, dashboards, actionable insights, etc.
- Expertise advising on selection of appropriate models and suitable algorithms depending on business requirements, aligning with best practice and ways of working.
- High-quality delivery of data science work, including accurate models, insightful dashboards and data visualisations.
- AI/ML proof-of-concepts applicable to Ofgem business processes, and estimation of value proposition.
- Technical documentation and training materials for Ofgem colleagues.
- 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.
- Data Science and machine learning capability for Ofgem, which may include reusable analytics tools and artefacts, such as, data science workflows, ML pipelines, dashboards, actionable insights, etc.
- Expertise advising on selection of appropriate models and suitable algorithms depending on business requirements, aligning with best practice and ways of working.
- High-quality delivery of data science work, including accurate models, insightful dashboards and data visualisations.
- AI/ML proof-of-concepts applicable to Ofgem business processes, and estimation of value proposition.
- Technical documentation and training materials for Ofgem colleagues.
- Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc). (LEAD)
- Understanding of data science concepts, AI / ML models, evaluation approaches, and data science applications to enhance business processes. (LEAD)
- Proven hands-on experience in Microsoft Azure ML Studio. (LEAD)
- Able to achieve and maintain SC clearance, which includes residency in the UK for at least 3 of the last 5 years. (Lead criteria)
- 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.
- Making Effective Decisions
- Working Together
- Managing a Quality Service
- UK nationals
- nationals of the Republic of Ireland
- nationals of Commonwealth countries who have the right to work in the UK
- nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
- nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
- individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
- Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service
- Name : Jamie Wright
- Email : [email protected]
- Email : [email protected]
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