EDF Trading
Power Analyst – Data Scientist
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
When you join EDF Trading
When you join EDF Trading, you’ll become part of a diverse international team of experts who challenge conventional ideas, test new approaches, and think outside the box. Energy markets evolve rapidly, so our team needs to remain agile, flexible, and ready to spot opportunities across all the markets we trade in: power, gas, LNG, LPG, oil, and environmental products.
EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it’s experience that makes us leaders in the field. Energy is what we do.
Become part of the team and you will be offered a great range of benefits, which include (location dependent) hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessments, corporate gym memberships, an electric car lease programme, childcare vouchers, a cycle-to-work scheme, season ticket loans, volunteering opportunities, and much more.
Gender balance and inclusion are very high on the agenda at EDF Trading, so you will become part of an ever-diversifying family of around 750 colleagues based in London, Paris, Singapore, and Houston.
Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.
Who are we?
We are EDF Trading, part of the EDF Group - a world leader in low-carbon, sustainable electricity generation. Join us, make a difference, and help shape the future of energy.
Job Description
Department: Energy Market Analysis (Power Analytics)
Position purpose
The purpose of the team is to provide a view on the fundamentals of the European power system – the balance of supply and demand – convert them into numerical price forecasts and advise traders on the positions to take based on such forecasts. The purpose of the position is to improve the scope of these forecasts and ultimately the profitability of trades.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Main Responsibilities
- Primary responsibility: Develop other time-series forecasting models: initially taking over existing embryonic models for meteo-to-power (mainly wind and solar) and making them more precise and industrial; continuously adding features as renewables become more integrated in the power system; with time, moving on to other time-series; making sure forecasts are error-free and delivered to traders in a timely manner.
- Secondary responsibility: Helping with the day-to-day running of the team. Tasks will include: data collection/market intelligence; liaising with Data in setting up new feeds and monitoring the quality of existing ones; running forecast models; automating them as needed; maintaining dashboards and reports; proactively providing modelling advice to other analysts and stakeholders.
Developing an in-depth understanding of power fundamentals
Experience required
- Some experience of working in the energy market or a trading environment would be beneficial but not essential.
- Proven academic excellence in the field.
- A couple of years experience with building production-grade models essential (MLOps).
Technical requirements
- Advanced graduate qualification (PhD or postdoctorate) in Machine Learning, Data Science, Statistics, or Maths.
- Strong Python coding experience/knowledge essential.
- Knowledge of git and CI/CD practices.
- Demonstrable proficiency with packages such as Pandas, Sklearn; Pytorch or Keras.
- Knowledge of SQL and Excel; experience with Databricks would be welcome.
Person specification
- Excellent analytical skills and attention to detail.
- Works effectively in a fast-paced environment, where the market and business needs can be constantly evolving.
- Is a team-player: collaborates well with others and is comfortable communicating with senior stakeholders on technical and project delivery details.
- Willingness to learn and incorporate the often very technical features of power fundamentals.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Hours of work
40 hours per week
Our experience is the culmination of everything that's unique about us; our culture, core values, commitment to sustainability, and most importantly, our people. EDFT employees are self-disciplined, hard-working, inquisitive, trustworthy, and truthful. They make choices based on what is best for the team, and live for opportunities to make a difference.
We are committed to equipping our employees with the tools that will enable them to fulfil their job to the highest standard. To that end, we offer a wide range of technical and personal development courses both in-house and through third-party providers.
We are proud of our work ethic and cultural diversity. We are high-performing people working together to achieve common goals. Innovative and flexible in our thinking, we are able to adapt and change, which is critical to our success.
"Issues are met with feedback, solutions, and discussion. Mistakes at EDFT are seen as experiences not failures."
"It is a fast-paced and dynamic working environment where each day is interesting and challenging. There’s also an incredible pool of talent and skills within EDFT. I’m continuously learning from my colleagues."
"There is no ‘typical’ day. I work on a wide range of compensation, benefit, and mobility projects throughout the year. One thing’s for sure though, I’ll have my head in a spreadsheet at some point."
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location