Description du poste
About Us
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.
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
Initial interview
Take-home exercise
Final interview (in-person)
Offer, references, and welcome to the team!
Compensation: £75K – £200K
- • Total compensation (base salary + equity) £75K – £200K
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Comment postuler
À propos de Axle Careers
Axle Careers
London
Questions fréquentes
Where is the Data Science position at Axle Careers located?
The Data Science role at Axle Careers is based in London.
What type of employment is the Data Science role at Axle Careers?
This Data Science position is offered as Full Time.
What skills are needed for the Data Science role at Axle Careers?
Key skills and focus areas for this role include Engineering.
How do I apply for the Data Science position at Axle Careers?
You can apply for the Data Science role at Axle Careers directly from this page. Create a professional, ATS-ready resume with Clever CV to strengthen your application before you apply.