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Data Scientist – Energy Markets & Forecasting
Location: London (Hybrid, 2–3 days/week)
Compensation: £Competitive + Equity
Sector: Climate Tech | Tier-1 VC Backed | Real-Time Systems
The Opportunity
Join an elite climate tech startup on a mission to decarbonise the grid. We’re looking for a Data Scientist with deep expertise in time-series forecasting to design and deploy real-time models that power trading and energy optimisation at scale.
You’ll work with complex, high-variance datasets, collaborating directly with traders and energy market specialists to deliver models that influence live, high-stakes decisions. This is your chance to combine advanced analytics with meaningful climate impact.
Why This Role
- Tackle challenging forecasting problems in fast-moving energy markets
- Collaborate closely with data scientists, traders, and product engineers
- Build and deploy production-ready ML models that shape live trading strategies
- Competitive salary + meaningful equity in a high-growth, mission-driven company
Tech Stack: Python | GCP | Docker | Streamlit | Figma (internal tools)
If you’re a high-performing data scientist with a quantitative mindset and a drive to apply your skills to one of the defining challenges of our generation — let’s talk.
Key Skills
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