We are seeking a passionate Data Scientist with a specialisation in linear programming and optimisation of battery energy storage.
This role represents a unique opportunity to work within a rapidly growing and dynamic company. In this role, you will apply quantitative analysis and data science techniques to develop sophisticated models for forecasting and optimisation both behind the meter and in front of the meter for community energy storage. You will lead the development of virtual energy storage, optimising a physical asset based on a digital twin. Your work will directly contribute to the strategic positioning of our energy storage assets in the market, optimizing their financial performance.
This is an exciting role that offers the opportunity to be at the forefront of an emerging industry and make a lasting impact on the future of energy storage.
The ideal candidate will have a background in engineering or computer science either in energy storage, electric vehicles or financial markets and a strong understanding of the energy transition.

Develop predictive models for market prices, demand, and supply dynamics using machine learning techniques.
Design and implement algorithms for automated trading and real-time decision-making
Perform statistical analysis and back-testing to refine trading strategies and assess their performance.
Monitor and respond to market conditions in real-time, adjusting strategies as necessary to maximize returns.
Communicate complex quantitative analysis and model results to stakeholders in a clear and concise manner.