Job Title: Data Scientist

Salary: £60-120k (+ very generous early stage equity)

Location: Central London, EC1 (2-3 office days/week)

Company: CleanTech / ClimateTech / EnergyTech

Employees: ~30

Funding: $10m+ (Seed)

The planet has an energy problem. You can help fix it.

Millions of homes now have "flexible" energy assets (EV chargers, home batteries, solar panels and heat pumps) that don't need to run at fixed times. This London start-up aggregates all of these devices and trades their collective flexibility in electricity markets, generating revenue that gets shared back with asset owners.

The result: cheaper bills, greener grids and a system that actually works for the future. Their ML models sit at the heart of it all, predicting demand and automating decisions at a scale that genuinely moves the needle on emissions.

Backed by some of the best investors in the world, they have serious momentum behind them and are looking for multiple Data Scientists to join their mission.

About the role

This isn't a research job where your models live in notebooks forever. You'll own your work end-to-end - from the initial hypothesis through to production systems that run in the real world, at scale, every day.

It'd be ideal for a T-shaped generalist who sits somewhere between data engineering, data science and software engineering. If you're the kind of person who gets a kick out of seeing something you built running in production - and finds energy markets genuinely fascinating - you'll fit right in.

You'll get deep into energy markets and grid dynamics, building the kind of domain expertise that's genuinely rare (and valuable! - should you ever choose to leave us). You'll write production-quality Python, collaborate closely with engineers, and push ideas from prototype to deployment without throwing things over a wall.

The stack: Python, Docker, GCP, Streamlit, Figma. No unnecessary complexity - just tools that help move fast and build things that last.

✅ You'll thrive here if you:

• Can tackle a wide range of problems - we value breadth of experience over depth
• Have a strong product and commercial thinking - you'll get to design and build really impactful commercial solutions here (e.g. strategies for entering new markets & geographies)
• Have strong ML fundamentals and know how to take models beyond the notebook
• Write clean, production-ready Python and care about code quality
• Use AI tooling extensively in your workflow
• Are comfortable owning the full lifecycle of your work
• Are curious about how energy systems, grids and markets actually function
• Can talk to non-technical stakeholders without breaking a sweat

Bonus points for:

• Experience with time-series / optimisation data
• Background in power trading or energy markets
• Comfort working directly with clients

VISA sponsorship is available if needed.