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# Power Analyst - Data Scientist

- **Company:** EDF Energy
- **Location:** Greater London, UK
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Continuous Integration, Python (Programming Language), Machine Learning, Standard Sql, Pytorch, Keras, Git, Pandas, Scikit Learn, Machine Learning Operations, Databricks
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815456397-power-analyst--data-scientist

## About the Role

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 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.**Hours of work:**40 hours per week
#J-18808-Ljbffr

## Description

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 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 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 modelling advice


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