Habitat Energy · Oxford, England
This is a live UK-based role at Habitat Energy, a UK Skilled Worker sponsor tracked by Sponsorly AI against the Home Office register. Posted 1 October 2026. Listed as open until 31 October 2026.
Data Scientist Habitat is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models and trading. By maximising the returns from these assets we aim to drive investment in renewable energy and accelerate the transition to a low carbon world. Our rapidly growing team of 130+ people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management. We have a vacancy for an applied analytics specialists to join our team based in Oxford. This role will solve real world electricity trading and optimisation problems across the domains of Habitat Energy energy trading, data science, and renewable energy management. Your role here should give you the satisfaction of seeing your ideas and solutions result in better outcomes for clients, the company and the climate. Successful colleagues advance quickly in our culture. This vacancy is for an Applied Data Scientist, will play a critical role in driving the success of our battery storage trading operations across wholesale markets (including day-ahead and intraday), Balancing Mechanism (BM), and ancillary service markets (frequency response and reserve services). You will work with analysts from the Applied Analytics team, and traders from the business to develop market forecasts to improve revenue capture for the batteries under our optimisation, support their productionisation and regularly discuss insights, improvements and conclusions with the rest of the Applied Analytics team and Trading Team. You will be responsible for: Developing market forecasts for our trading teams, who trade the wholesale electricity and ancillary service markets in GB Building, prototyping, testing, and scaling parallelised predictive models to forecast electricity market prices, volumes and value across wholesale and ancillary markets Cleaning complex datasets, engineering high-value temporal features, and accounting for complex nuances in the electricity market Creating actionable insights to improve real world trading performance to maximise revenue and manage risk, going beyond just monitoring model accuracy metrics Contributing both ad hoc insights and enduring intelligence to inform trading strategies Creating applications to automate the way the batteries we optimise are traded Creating insights into risk so traders can understand the range of outcomes of decisions Visualising and communicating insights to make it easy for users to assimilate large quantities of insights and quickly make high reward vs risk decisions Becoming a specialist on specific areas of the markets we are active in and providing support to colleagues on this topics Working with tech teams to source data to underpin your work and help them productionise your applications Requirements Preferred Tec…
Listing tracked by Sponsorly AI from Habitat Energy's own job posting. Apply directly with the employer — Sponsorly does not process applications.