Data Science
- LocationLondon
- Work typeHybrid
- Salary75k to 200k GBP a year
- EmploymentFull-time
- Posted8 November 2026
- SourceAxle Careers's careers page (Ashby)
Live checkFirst seen 5 h ago; still listed on Axle Careers's careers page 5 h ago.
Posted beforeRoleFinder first saw this role on 5 October 2026, 34 days before this listing. Reposts are often real openings that took long to fill.
At a glance
- Skills and toolsPython, React, Docker, Google Cloud
Read from the ad by RoleFinder, with rules and an AI reading; the description is the source.
Back from the application? Add your CV and RoleFinder scores your fit for this role, then ranks your best 12 open roles where you want to work, each with a one-line reason.
Check my fitDid you apply? Keep this role in a free RoleFinder list with the others you save. The list shows where you applied and marks a role that closes.
Yes, save it to my listNot yet: check my fit firstAbout the role
At Axle Energy, we’re building the infrastructure that will underpin the decarbonised energy system. Our software moves energy usage to times when electricity is cheap and green, by controlling vehicle charging, heating systems, and home batteries. We control hundreds of thousands of energy assets.
We’re building in a legacy industry and moving gigawatt-hours of electrons in the real world, but we operate at lightning speed, and we’re growing the team to meet customer demand.
We’re proud to be supported by world-leading investors, including Energize Capital and Accel.
Read more about what we’re building here https://www.axle.energy/blog/analysis/power-of-the-home.
ABOUT THE ROLE
We're hiring full stack data scientists who love to get into the nitty gritty of the domain, have an instinct for commercial value, and own the entire process from data exploration to production.
- Building, optimising, and deploying models that operate reliably at scale
- Developing a deep understanding of energy markets, grid dynamics, and trading strategies
- Taking ownership of the full lifecycle of your work, from research and prototyping through to production
- Writing clean, production-quality code and contributing to robust, scalable systems
- Working beyond notebooks, turning ideas into real-world, productionised solutions
IT’D BE NICE IF YOU COULD BRING:
- Knowledge of the electricity system, specifically power trading
- Comfort speaking to clients (we’re a small team and wear many hats)
- Familiarity with time-series data
TECH STACK
🐍 We build in Python + React for the frontend (less relevant for this role)
🐋 Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility.
🤖 Unlimited Claude Code tokens - we are aggressive users and explorers of AI, and encourage everybody to reconsider their workflows regularly
☁️ We deploy on GCP
WHAT'S IN IT FOR YOU
A meaningful slice of equity in Axle, alongside a competitive salary, with total compensation ranging from £75k–£200k (base salary + equity).
We operate with a deliberately flat structure and aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation.
Enhanced parental leave to support you through life's meaningful moments.
Bi-annual retreats to strengthen team connection & shared purpose.
Hybrid working - We have a dog-friendly office around Farringdon. To maximize collaboration, we ask that you spend 2-3 days a week in the office.
The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world.
We are extremely keen to build a diverse company, and we’re particularly eager to hear from candidates who don't fit the traditional role stereotypes. If you’re motivated by our mission, please do reach out, even if you feel you might not ‘check all the boxes’.
INTERVIEW PROCESS
1. Initial interview
2. Take-home exercise
3. Final interview (in-person)
4. Offer, references, and welcome to the team!
Get open roles ranked against your CV
How well do you fit this role?
Add your CV once. RoleFinder ranks the open roles where you want to work, plus remote ones, against it, shows your best 12 with a one-line reason each, and emails you new matches once a week. The file is read once by AI and not kept; employers never see it.
Drop your CV and see your fit for this role and four more open roles in under a minute. No account needed: sign in only to keep them.
Sign in with Google or email to start. How we handle your CV
The file is read once by AI and not kept. How we handle your CV