Data Scientist – Power Analytics

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

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.

Most of all, we value our people. Become part of the team and you will be offered a great range of benefits which include hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessment, corporate gym memberships, electric car lease programme, childcare vouchers, cycle to work scheme, season ticket loans, volunteering opportunities and much more. We even provide free fruit to keep you healthy.

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 800 colleagues based in London, Paris, Singapore, Tokyo 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 partnered with JERA, one of Japan’s largest utilities; the perfect organisation at which to begin or progress your career in the commodities sector.

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.

Main Responsibilities

Primary responsibility will be to:

• Taking over existing embryonic models for meteo-to-power (mainly wind and solar) and making them more precise and industrial;
• Developing other time-series forecasting models.
• Continuously adding features as renewables become more integrated in the power system.

Secondary responsibility will be 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 data analytical support to analysts and traders.
• 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.
• A couple years experience with building production-grade models essential.

Technical requirements

• Graduate qualification in an analytical or science-based discipline e.g. business/engineering/maths or equivalent. Solid theoretical foundations in statistics.
• Strong Python coding experience/knowledge essential. Knowledge of git and coding practices Demonstrable proficiency with Pandas, Sklearn; Pytorch or Keras.
• Knowledge of SQL and Excel possibly PowerBI.

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 has exceptional communication skills.
• Ability to see the big picture. These models will be uses as part of a larger and well established ecosystem – integration and coherence will trump theoretical excellence.
• Willingness to learn and incorporate the often very technical features of power fundamentals.

Hours of work:

40 hours per week