Data Scientist

Job Description

Data Scientist
(Short Term Intraday Stack Models)
Power Trading
London

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We are working with one of the UK's leading power companies - generating 10-15% of the UK's electricity - with sites across the UK, Ireland, and Germany. As they scale from 3.5 GW to 7 GW of and add 500 MW of battery storage, they're building out their data science capability on the trading floor.

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We're hiring a Lead Data Scientist or Modeller to work directly with the power traders and tech team, owning and delivering high-impact models that directly influence revenue and asset optimisation.

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What you'll be doing

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• Take ownership over existing models, and building new short-term intraday stack models

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• Own and enhance short-term stack forecasting and dispatch models

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• Build intraday trading tools and collaborate on automated strategies

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• Apply time series and fundamentals-based modelling to support trading decisions

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• Work alongside data engineers to deploy production-grade code

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• Mentor others and help embed data science best practices across the team

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What we're looking for

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• Experience in data science/ML/quant roles in trading or energy

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• Strong Python coding skills and model development experience

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• Deep understanding of UK/EMEA power markets

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• Time series modelling (both machine-learning and econometric approaches)

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• Familiarity with cloud platforms (AWS) and containerisation technologies (Docker)

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• Familiarity with cloud-based ETL/ELT data pipelines and orchestrators (Airflow, Dagster, Prefect)

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• Experience building backtests and deploying production ML

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• Confident communicator with the ability to work across tech and commercial teams

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