Data Scientist - Energy Trading

Hybrid role, 2 days in the office per weekThe role:Building machine learning models to forecast demand, market prices, and participant behaviour.Building decision-making "agents" to act autonomously in power markets.Bringing an experimental mindset, prototyping and developing with the right model for the job.The requirements:You have exposure to energy marketsYou have a passion for time-series forecasting and experience bringing timeseries forecasts to production.You are fluent in Python and its wider numerical ecosystem (Pandas, NumPy, Scikit-learn, Polars, etc.).You have at least 3 years of commercial experience developing and productionising real-time projects in Machine Learning and Data Science.You have a BA/BSc degree in Computer Science, Machine Learning, Electrical Engineering, or related technical field.Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.With insight across the whole of Lorien, we’ll keep you ahead of the curve on the talent market.
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