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Job Description

Data Scientist – Energy & Production ML Climate Tech Startup | London, UK (Hybrid)

About the role

We're hiring a data scientist who ships. You'll own the full lifecycle of your work: from research and prototyping through to production deployment, monitoring, and iteration.

You'll build machine learning models that operate reliably at scale, controlling thousands of EV chargers, batteries, and heating systems. We use real-time market data and ML to shift energy consumption to times when it's cheaper and greener.

This is 50/50 data science and production engineering. You'll write clean Python code, deploy on cloud, and work in Docker. You won't live in notebooks. You will see your work used by real customers.

What we're looking for You've shipped a product or feature that customers actually used. You understand the commercial impact of your work, not just the technical metrics.

You're comfortable with:

Building models from research through to production Python and cloud infrastructure Time-series data and forecasting Taking ownership end-to-end Working in small, flat teams where everyone has a voice

Energy background is not required. Shipping ability is.

Seniority: 1–2 years onwards. We've hired at all levels. The sweet spot is around 5 years, but it depends on what you've actually built.

About the company 30-person team, backed by top-tier VCs. Deliberately flat structure. They move fast, give feedback within 24 hours, and people respond well to the mission: building software infrastructure for decarbonised energy systems.

What's in it for you £60–120k salary + 50–60% equity Hybrid: 3 days/week in London office Enhanced parental leave, cycle-to-work scheme, bi-annual team retreats Meaningful work on climate tech

Interview process

Initial chat with technical lead (30 min) Take-home technical task (reviewed by the team) Final interview with founders (in-person, London)

The screening question they care most about:

Have you shipped a product? And what was the commercial impact?

How to apply If you've built and shipped something, Id like to hear from you.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.