Data Scientist – Climate Tech | Time-Series Forecasting & Power Trading London (Hybrid, 2–3 days/week) | £Competitive Equity I’m working with a fast-growing climate tech startup that’s doing seriously impactful work in energy and decarbonisation. They’re building the future of how the grid works and they’re doing it fast, with real-world systems already in place. They’re now looking for a data scientist to join a newly formed quant trading team. This isn’t a research role. The models you build will go straight into production, driving real-time decisions across a growing fleet of energy assets like EVs, batteries and heat pumps. Why this is a standout role: You’ll take full ownership of forecasting models that directly affect trading and grid behaviour You’ll work closely with quants and engineers to help build out a new power trading desk from the ground up Your work will have direct, measurable impact on carbon reduction and grid efficiency You’ll be joining a small, sharp team with space to move quickly and make a real difference Hybrid setup with 2–3 days a week in their London office Tech stack: Python (required), Streamlit, Docker, GCP (open to other cloud experience), Figma If you're someone with a strong academic background and real coding experience who wants to work on meaningful, real-world problems in a high-growth environment, this is a unique opportunity to do just that. APPLY NOW