Data Science
Axle Careers
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What science roles keep asking for: Python (38%), Machine learning (35%), SQL (19%), R (17%), Deep learning (14%), Stakeholder management (14%), AWS (12%), Java (12%) — counted across their open postings here.
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Axle Careers has 10 open roles listed here.
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Preparing for this interview
Interviews for science roles keep coming back to Python, Machine learning, SQL, R. Practise those questions before you sit with Axle Careers.
Questions you are likely to be asked
- Why do you want to join Axle Careers?
- What is your experience with Docker? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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Practise the Data Science at Axle Careers interview free →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 Find more English Speaking Jobs in United Kingdom on Arbeitnow
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Listed on arbeitnow · posted 2026-10-06. ApplySarthi collects openings and links to application pages; the role is advertised by Axle Careers, not by us.