Data Scientist

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

About the role

We're hiring a data scientist who ships and thinks pragmatically. You'll own the full lifecycle: from market analysis and model design through to production deployment, monitoring, and iteration.

You'll build optimisation systems that control 100K+ energy assets (EV chargers, batteries, heat pumps) across multiple markets. The challenge: maximise profit for asset owners whilst keeping them satisfied and respecting grid constraints. Simple solutions that work beat elegant ones that don't.

The reality of the work

This is 40% data science, 60% software engineering. You'll analyse market constraints and design optimisation approaches, but you'll also write clean Python, deploy on cloud infrastructure, manage data pipelines, and maintain systems in production. You won't live in notebooks. Your code will control real assets for real customers.

What we're looking for

Must-have

• 5–10 years of production software/data experience
• Proven track record shipping real systems (not research, not POCs)
• Production Python
• Comfort with optimisation thinking and decision-making under uncertainty

You've shipped something that customers relied on. You understand the commercial impact – not just the technical metrics, but why it mattered to the business.

Strongly preferred

• Data engineering background (pipelines, orchestration, system design)
• Experience with multi-dimensional optimisation or constraint-based problems
• Fintech, energy, or B2B software experience
• Willingness to learn domain specifics (energy markets, grid dynamics, market mechanics)

Mindset

• Generalist, not specialist. You're deep in one area but broad across many (data science + engineering + domain thinking).
• Pragmatist. You choose "working today" over "theoretically optimal next quarter."
• Product-focused. You think end-to-end ownership, not isolated analyses.
• Clear communicator. You can explain complex technical work to non-technical stakeholders.

About the company

30-person climate tech startup, backed by top-tier VCs. We're the first UK entry into wholesale markets for flexible energy assets – now expanding to France and Italy in 2026.

Deliberately flat structure. CTO (Archie, PhD neuroscience, ex-head of data science at Carbon Chain) reports to no one. So do you. We move fast, give feedback within 24 hours, and people respond well to the mission: building software infrastructure for decarbonised energy systems.

Tech stack: Python, Docker, AWS, GCP/Azure, Terraform. We're evaluating Snowflake vs Databricks and defining broader data platform strategy – you'll have input on those decisions.

What's in it for you

We hire across levels, but the sweet spot is 5–10 years of production experience.

• £60–80k: Mid-level (5–7 years shipping)
• £80–100k: Senior (7–10 years, proven system ownership)
• £100–120k: Exceptional (multiple products shipped, domain expertise)
• Equity: 50–60% of salary (standard package)
• Other: Enhanced parental leave, cycle-to-work scheme, bi-annual team retreats, 3 days/week in London office (hybrid)

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, I'd like to hear from you.