Data Scientist

Data Scientist – Time-Series Forecasting & Energy Trading London (Hybrid, 2–3 days/week) | £Competitive Equity Join one of the UK’s most promising climate tech startups, a team of top-tier engineers and quants building the future of power trading and grid intelligence. This is a high-impact, production-focused data science role within a newly formed quant trading team . You’ll be working on some of the most complex forecasting problems in energy, turning noisy, fast-moving time-series data into live trading decisions that move the grid toward net zero. What You’ll Be Doing Designing and deploying time-series forecasting models for real-time energy markets Working directly with engineers and quantitative analysts to shape trading logic Solving practical algorithmic problems in energy pricing, demand prediction, and asset behaviour Helping build a data-driven trading desk from the ground up - everything you do will go into production What They’re Looking For A strong academic background in a quantitative field (e.g. Maths, Physics, Engineering, Computer Science) — top universities preferred Solid Python programming skills and experience shipping production code Practical understanding of time-series forecasting, statistics, and signal processing Experience working with real-world data — ideally in trading, energy, or systems optimisation An analytical mindset with a passion for solving applied, algorithmic problems ️ Tools & Stack Python (core), Streamlit, Docker, GCP (flexible on cloud), Figma for internal tools and UX If you're a sharp, hands-on data scientist who thrives on tough forecasting problems and wants your work to shape the future of energy APPLY NOW!

Location: London, GB

Posted Date: 6/18/2025