At a Glance
- Tasks: Build AI/ML solutions that enhance operational performance and drive real impact.
- Company: Join EDF, a leader in sustainable energy with a collaborative culture.
- Benefits: Competitive salary, hybrid work, customisable benefits, and a market-leading pension scheme.
- Other info: Embrace a unique career journey with opportunities for continuous learning and growth.
- Why this job: Make a difference by developing innovative products for a sustainable future.
- Qualifications: Strong foundations in Data Science, AI, or Machine Learning; experience with ML lifecycle.
The predicted salary is between 63000 - 77000 £ per year.
Ready to build products that make a difference? At EDF, our products are built through collaboration, shared ownership, and a passion for continuous improvement. We learn as we go, challenge ourselves to do better with every iteration, and focus on delivering real impact.
If you’re excited about developing Artificial Intelligence/Machine Learning (AI/ML) solutions and want to use your skills to help power a more sustainable future, we’d love to hear from you.
The Opportunity
Our team builds AI powered solutions that enhance operational performance across Retail. Using data science, natural language processing, machine learning, Large Language Models (LLMs), GenAI and process mining, we map event sequences, infer happy and unhappy paths, detect deviations, identify root causes and recommend fixes. We then wrap this intelligence in an agentic AI layer that allows teams to interact with their data in natural language, or to deploy batch interventions or automated process implementation.
We’re looking for a Data Scientist (AI/ML) to join our team, designing and delivering products used across both customer-facing and operational teams.
What You’ll Be Doing
- You’ll play a key role in building data-driven products that are used at scale across the business.
- Explore and analyse data to frame problems, generate insights, and design impactful solutions.
- Develop scalable, secure, and maintainable AI/ML products across the full product lifecycle.
- Build and optimise solutions using LLMs and agentic frameworks.
- Improve product performance through robust testing, evaluation and continuous monitoring.
- Collaborate with cross-functional teams to define and share best practice, driving meaningful outcomes.
Who You Are
You’ll be a collaborative Data Scientist who enjoys turning ideas into production-ready solutions. To be successful in this role, you’ll be curious, pragmatic, and motivated by solving real-world problems, bringing:
- Strong foundations in Data Science, AI, or Machine Learning.
- Experience across the full ML lifecycle (from experimentation to production).
- Knowledge of statistics and experimentation (e.g. hypothesis testing, causal thinking).
- Experience with cloud platforms, ideally Amazon Web Services (AWS).
- Familiarity with ML Operations and data engineering practices and tools (e.g. Data Build Tool, Airflow, Continuous Integration/ Continuous Delivery/Deployment (CI/CD)).
- Interest in building and optimising solutions using Large Language Models and agentic frameworks.
- A continuous learning mindset and strong problem-solving skills.
Pay, Benefits and Culture
This is a hybrid role, primarily home-based, with occasional travel to either our London or Hove offices. Alongside a competitive salary, potential for an annual bonus, and a market‑leading pension scheme, your package will include customisable benefits such as electric vehicle leasing, discounted gym membership, life assurance, tech vouchers, experience days and more. However, you’ll be appointed based on your existing salary, competence, experience and qualifications.
At EDF, we believe there are multiple definitions of what it means to succeed. That’s why we offer you the freedom to develop a career that’s unique to you. Here, Success is Personal – it’s your journey, powered by us.
Everyone is welcome at EDF; we’re committed to building a workforce that reflects gender balance, social mobility, and inclusion of minority ethnic backgrounds, LGBTQ+ communities, and those with disabilities. As a Disability Confident employer, we will support applicants requiring adjustments.
Join us and find your success at EDF!
Closing date for applications: Sunday 23rd August 2026
Data Scientist employer: EDF Energy
EDF Energy is an excellent employer, offering a dynamic work culture that prioritises innovation and collaboration. Employees benefit from competitive salaries, potential bonuses, and a range of customisable benefits, all while working in a hybrid environment that supports work-life balance. With a strong focus on employee growth and development, EDF Energy provides ample opportunities for career advancement in the rapidly evolving field of technology services.
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 EDF Energy!
✨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 EDF Energy.
✨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 EDF Energy.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at EDF Energy, 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 EDF Energy, 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 EDF Energy. 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 EDF Energy
✨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 EDF Energy!
✨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.
