Data Scientist
- £80,000
- London
Data Scientist – Energy Markets & Forecasting
London (Hybrid, 2–3 days/week) | 💰 £Competitive + Equity
Climate Tech | Tier-1 VC Backing | Real-Time Systems
An elite climate tech startup is looking for a Data Scientist with deep experience in time-series forecasting to help build real-time models for trading and energy optimisation. This is a rare opportunity to apply advanced analytics to one of the most urgent challenges of our time: decarbonising the grid.
You’ll work on high-variance, noisy datasets, collaborating directly with traders and market experts to deploy models that drive real decisions.
Why This Role?
- Solve complex forecasting problems in real-time energy markets
- Collaborate across data science, trading, and product teams
- Build production-grade models that shape live decisions
- Competitive comp + meaningful equity in a high-growth mission
Who You Are
We’re looking for someone with:
- A top-tier academic background in Maths, Physics, Engineering, or CS (Oxbridge, Imperial, top international equivalents)
- Hands-on expertise in time-series, forecasting, or signal processing
- Strong Python skills and experience writing clean, maintainable code
- A sharp, systems-level mindset with commercial awareness
- Bonus: knowledge of energy markets, trading platforms, or optimisation
Tech Stack
Python | GCP | Docker | Streamlit | Figma (internal tools)
If you're a high-performing data scientist with a strong quantitative foundation and want to apply it to a mission that matters...let’s talk.