Axle Energy
Climate Tech
DataScience
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Science at Axle Energy. Skills: Data Science, Machine Learning, Productionization. Build models. Optimize models”
Industry & Context.
Data exploration; Root cause analysis
What They're Looking For.
Must Have
5+ years Python, SQL proficiency, 5+ years data science experience
Nice to Have
PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified, Knowledge of electricity system, Familiarity with time-series data
What You'll Do.
Develop understanding of energy markets
Develop understanding of grid dynamics
Develop understanding of trading strategies
Write production code
Contribute to systems
Turn ideas into solutions
Productionize solutions
How You'll Work.
Team & Collaboration
Cross-functional teams; Client communication
Communication Scope
Client speaking
Full Job Description
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 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. We operate with a deliberately flat
Applying for this Data Science role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about Axle Energy?
Real rants from real employees. Read before you apply.