Data Analyst - Asset Optimisation

We are looking for a Data Analyst with a strong foundation in Mathematics or Physics to help us optimise the performance of our renewable energy portfolio. As we scale our BESS assets, we need a practical analyst who can distil domain data into commercial results.

• Use mathematical frameworks to predict supply depth and market pricing, identifying market opportunities
• Model optimal usage of battery assets using linear programming taking into account opportunity cost and physical characteristics of the asset
• Model GB electricity system to create forward view of system constraints
• Understand and model dynamics of all markets BESS participate in, including wholesale electricity, Balancing Services, Balancing Mechanism etc, to create optimised strategies for assets
• Implement progressively deeper levels of optimisation taking into account real time performance, utilisation and machine state parameters
• Solve Real Problems:
  Your analysis doesn't just increase clicks; it directly speeds up the global transition to Net Zero.
• Intellectual Rigour:
  Work in an environment where your academic background is respected and utilised daily.
• Career Progression: work across a wide variety of disciplines with plentiful opportunities

• A degree in Physics, Mathematics, Theoretical Physics, or a related field where you have spent time modelling physical systems in an UK university
• Experience in Statistical Significance and Time-Series Analysis
• Ability to handle Vector Calculus or Linear Algebra
• A "First Principles" approach to solving problems
• Python (specifically libraries like Num Py, Sci Py, and Pandas)
• SQL or similar for managing large-scale time-series datasets
• Familiarity with SCADA systems is a bonus
• Understanding of the UK/EU Energy Market (e.g., Balancing Mechanism, Ancillary Services) is desirable
• Must have permanent right to work in the UK without sponsorship.