Data Scientist – Energy Markets & Forecasting
Location: London (Hybrid, 2–3 days per week)
Compensation: £Competitive + Equity
Sector: Climate Tech | Tier-1 VC Backed | Real-Time Systems
I’m working with a cutting-edge climate tech startup that’s focused on decarbonising the energy grid. Backed by top-tier investors, they’re building technology that supports real-time energy trading and optimisation at scale.
They’re looking for a Data Scientist with strong experience in time-series forecasting to design, build, and deploy real-time models that directly impact trading decisions. You’ll be working with complex, high-variance datasets and collaborating closely with traders, engineers, and product teams to turn data into live insights that drive performance in fast-moving energy markets.
Key Responsibilities:
* Develop and refine time-series forecasting models for energy trading and optimisation
* Work with real-time, high-volume data streams to deliver actionable insights
* Partner with traders, data scientists, and product engineers on live trading strategies
* Build and deploy production-ready ML models that power operational decision-making
* Continuously improve model accuracy, speed, and scalability
What They’re Looking For:
* Strong background in data science, statistics, or applied mathematics (advanced degree preferred)
* Proven experience with time-series forecasting and real-time data environments
* Skilled in Python and familiar with cloud-based tools such as GCP and Docker
* Strong analytical and problem-solving skills with a commercial mindset
* Interest in climate tech and a desire to apply data science to sustainability challenges
Tech Stack: Python, GCP, Docker, Streamlit, Figma (for internal tools)
Why Join:
* Tackle complex, high-impact forecasting challenges in the energy sector
* Work alongside a world-class team of scientists, traders, and engineers
* Competitive salary and meaningful equity in a high-growth startup
* Be part of a mission-driven company making a measurable impact on decarbonisation
If you’re a high-performing data scientist with a passion for real-time systems and the energy transition, this is an opportunity to apply your skills to one of the most important challenges of our time.