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!