At a Glance
- Tasks: Design and deliver data science solutions that drive impactful decisions in the energy sector.
- Company: Join Ofgem, a leader in energy regulation with a focus on data and AI.
- Benefits: Enjoy 30 days annual leave, hybrid working, and excellent training opportunities.
- Other info: Collaborative environment with a commitment to continuous improvement and ethical AI practices.
- Why this job: Make a real difference in energy markets while developing your data science skills.
- Qualifications: Experience in data science, strong Python skills, and ability to communicate findings clearly.
The predicted salary is between 35232 - 35232 £ per year.
Data science at Ofgem is not abstract research. It helps us understand energy markets, monitor supplier performance, assess risks to consumers, and support decisions that affect households and businesses across Great Britain. As the energy system becomes more complex, Ofgem needs data scientists who can turn complex, imperfect and fast‑moving data into insight, evidence and practical tools that improve regulation. Within the Digital, Data and Security Services (DDSS) directorate, we are building a stronger Data & AI capability for Ofgem: improving how we use data, developing reusable analytical products, and applying data science and AI safely to priority regulatory and operational challenges.
Responsibilities
- Designing, developing and delivering data science solutions that provide clear evidence, support decisions and can be reused or maintained over time.
- Applying statistical, machine learning and analytical techniques where appropriate, and explaining the strengths, limitations and assumptions of the approach.
- Working with incomplete, complex or inconsistent data, and applying appropriate quality checks to produce reliable, reproducible and well‑documented outputs.
- Working with policy, operational and technical colleagues to understand the decision or problem, test whether data science is the right approach, and translate needs into practical analytical solutions.
- Communicating findings clearly to both technical and non‑technical audiences through visualisations, presentations and reporting.
- Collaborating with data engineers, analysts and delivery teams to ensure solutions are scalable, maintainable and aligned with organisational standards.
- Applying responsible AI, ethical, privacy and security considerations throughout the data science lifecycle, including model explainability, bias, proportionality and appropriate governance.
- Using modern tools and platforms, including Python and Azure‑based technologies, to develop, test, document and, where appropriate, deploy analytical products.
- Identifying and implementing improvements to tools, processes and methods, contributing to continuous improvement in data science capability.
Qualifications
- Experience developing and delivering data science or advanced analytical solutions that have informed decisions, improved services or supported measurable outcomes.
- Strong knowledge of statistical methods and machine learning techniques, with the judgement to select proportionate methods and explain their assumptions, limitations and risks.
- Practical experience using Python or similar languages to build reproducible analysis, models or data science workflows, ideally using cloud‑based data platforms such as Azure.
- Ability to work with complex, messy or incomplete datasets, including data preparation, feature engineering, quality assessment, modelling and validation.
- Strong communication skills, with the ability to explain technical work clearly to non‑specialists and provide advice that supports confident decision‑making.
- Understanding of responsible AI, data ethics, privacy, security and governance considerations in applied data science.
- Experience working with analysts, engineers, product or delivery colleagues, or subject matter experts to turn analytical ideas into usable products or services.
- Experience working in agile environments, and familiarity with user‑centred design approaches, would be beneficial.
- Demonstrated experience in developing data science solutions that enable organisations to achieve their goals.
- Demonstrated experience applying AI and data science tools and techniques, particularly those used at Ofgem.
- Ability to collaborate with data engineers and scientists, and delivery teams to source, clean and prepare data appropriately.
- Ability to write programs and scripts, optimising code and testing products.
- Evidence of commitment to develop your own skill set.
Desirable Criteria
- Experience of delivering in an agile, iterative manner that delivers value early.
- Experience of understanding the role of user research and establishing user needs.
Behaviours
- Changing and improving.
- Communicating and influencing.
- Delivering at pace.
Benefits
- 30 days annual leave after 2 years of employment.
- Excellent training and development opportunities.
- The opportunity to join the generous Civil Service pension scheme, with a contribution towards membership.
- Hybrid working, with the possibility of working from home and flexible working hours.
- Family‑friendly policies.
- Access to clean and bright offices based centrally.
Salary: £35,232 per year. OFGEM contributes £10,206 towards the Civil Service Defined Benefit Pension scheme.
Data Scientist employer: Ofgem
Ofgem is an exceptional employer for data scientists, offering a dynamic work environment where your analytical skills directly impact energy regulation across Great Britain. With a strong commitment to employee development, flexible working arrangements, and a comprehensive benefits package, including generous annual leave and a robust pension scheme, Ofgem fosters a culture of collaboration and innovation. Join us to be part of a mission-driven organisation that values ethical data practices and empowers you to grow in your career while making a meaningful difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ofgem!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Ofgem.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ofgem.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Ofgem, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ofgem, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ofgem. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ofgem
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ofgem!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
