Company information

EDF Trading is a leader in the international wholesale energy markets. The company manages a portfolio of assets which give it the ability to source, supply, transport, store, blend and convert physical commodities around the world. These capabilities enable EDF Trading to deliver essential asset optimisation services, risk management and wholesale market access to the EDF Group and its third party customers, helping them to realise the value inherent in their asset portfolios.

EDF Trading is a 100% owned subsidiary of EDF, one of the world's biggest electricity generators.

EDF Trading has around 800 employees with key offices in London, Paris, Singapore, Houston and Tokyo.

Department
EDF Trading Markets, Paris

The Short-Term Analytical Team is an operational team with the following structure:

• 6 market analysts and a manager supporting the Short term Power Desk during week days
• 7 analysts and a manager dedicated to the optimization of the EDF portfolio on Day Ahead and Week Ahead horizon.
• The Analytics Engineering Manager and 2 software engineers.

Position purpose

Price forecasting models are central in EDF Trading activities. Consequently, their continuous improvement is essential in order to ensure the well running of the business. One of the key element is to develop our ability to analysis the behaviour of our counterparties in all European countries.

The main objective of the internship is to adapt a clustering model that identify powerplants from an historical dataset to a fully unsupervised model.

The main focus will be concentrated on UK powerplants and will be expand in a second time to all European countries. This work will involve market data manipulation and the development of data science models. To succeed, it will be necessary for the trainee to understand how actors of the power market optimize their assets against the market.

In case of successful results, the powerplant identification will be implemented in the price forecasting model.

Main responsibilities

• Explore and propose methods to identify powerplants from market orders without a reference dataset
• Ensure the implementation of the models is robust and well documented before the deployment in production
• Analyse results and present them to EDFT Analysts team

Personal and professional requirements

• Strong analytical and quantitative skills
• High motivation, enthusiasm and ability to work autonomously Interest in Energy and Commodities market
• Must demonstrate strength in programming (Python) and data management
• Must be structured, systematic and result driven approach, with a problem solving mentality
• Strong communication skills, both verbal and written

Duration
4 to 6 months, starting between March and June 2025.

Hours of work
9am - 6pm, Monday to Friday