Data Scientist

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

We are working with one of the UK’s leading power generation 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 generation and add 500 MW of battery storage, they’re building out their data science capability on the trading floor.

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.

What you’ll be doing

• Take ownership over existing models, and building new short-term intraday stack models
• Own and enhance short-term stack forecasting and dispatch models
• Build intraday trading tools and collaborate on automated strategies
• Apply time series and fundamentals-based modelling to support trading decisions
• Work alongside data engineers to deploy production-grade code
• Mentor others and help embed data science best practices across the team

What we’re looking for

• Experience in data science/ML/quant roles in trading or energy
• Strong Python coding skills and model development experience
• Deep understanding of UK/EMEA power markets
• Time series modelling (both machine-learning and econometric approaches)
• Familiarity with cloud platforms (AWS) and containerisation technologies (Docker)
• Familiarity with cloud-based ETL/ELT data pipelines and orchestrators (Airflow, Dagster, Prefect)
• Experience building backtests and deploying production ML
• Confident communicator with the ability to work across tech and commercial teams