At a Glance
- Tasks: Build and optimise data models to revolutionise energy usage and trading.
- Company: Join Axle Energy, a fast-growing tech company transforming the energy sector.
- Benefits: Competitive salary, equity options, enhanced parental leave, and bi-annual team retreats.
- Other info: Hybrid work model with a dog-friendly office and a focus on diversity.
- Why this job: Shape the future of energy markets while working in a dynamic, mission-driven environment.
- Qualifications: Experience in data science, knowledge of energy systems, and strong coding skills.
The predicted salary is between 75000 - 200000 £ per year.
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.
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
Data Science employer: Axle Careers
Axle Energy is an exceptional employer, offering a dynamic work environment where innovation meets collaboration in the UK energy trading sector. With a strong focus on employee growth and development, team members are encouraged to enhance their skills while contributing to impactful projects that shape the future of energy. The company's commitment to fostering a supportive culture ensures that every voice is heard, making it a rewarding place for those looking to make a meaningful impact.
