Remote position
Data Science
at Axle Careers
Real Remote Score
42/100
Mixed
- Comp
- 10/25
- Location
- 4/25
- Source
- 5/15
- Clarity
- 3/15
- Freshness
- 20/20
Why this score? ▾
- Compensation · Single number, no range 10/25
- Location · Specific city or narrow scope 4/25
- Source · Generic aggregator 5/15
- Role clarity · Neither seniority nor stack in title 3/15
- Freshness · Posted today 20/20
How the Real Remote Score is calculated → · Score appeals & corrections
Salary in context
Below the 25th percentile for Data/ML
Listing floor: $75,000 · Role median across 107 peers: $200,000 · 25th–75th: $156,000–$244,000
Numbers refresh from the live corpus. Compare the full distribution at /tools/salary-index/ or run a city PPP adjustment at /tools/salary-calculator/.
Hybrid Transparency Score
30/100
Weak · 3 days/wk onsite
- Days
- 30/30
- Location
- 0/30
- Schedule
- 0/15
- Relocation
- 0/15
- Source
- 0/10
This role is hybrid: it expects some in-office presence. HTS grades how clearly the employer discloses the hybrid terms. How the Hybrid Transparency Score works →
About this 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.
About the roleWe'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
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
🐍 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 youA 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 processInitial 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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