Data Scientist - Energy Trading

Data Scientist - Energy Trading

• Permanent
• Oxford
• Hybrid role, 2 days in the office per week

The 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 markets
• You 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.