Data Scientist

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

Apply fast, check the full description by scrolling below to find out the full requirements for this role.

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.