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Axle Energy is an energy technology company building software for flexible electricity markets. Its platform connects assets such as electric vehicle chargers, heat pumps, and home batteries with local and national grid programs, helping energy suppliers, equipment manufacturers, and battery owners manage and monetize flexible demand. Axle Energy combines APIs, ready-made frontend components, forecasting and optimization tools, market access, trading capabilities, and payment workflows to support automated energy-market participation across Europe.
Data Scientist, Energy Markets (Hybrid - London)
Build and productionise data science models for Axle Energy’s decarbonised energy infrastructure. Use Python, Docker, and Google Cloud Platform to analyse energy markets, grid dynamics, and trading strategies.
Description
- Create, optimise, and deploy reliable models at scale
- Build expertise in electricity markets, grid behaviour, and trading strategies
- Lead projects end to end, from initial research and prototyping to production delivery
- Develop clean, production-ready code that supports robust and scalable systems
- Translate promising ideas into practical, productionised solutions
Requirements
- Understanding of the electricity system, particularly power trading
- Confidence communicating with clients
- Familiarity with time-series data
- Professional experience using Python
- Experience working with Docker
- Experience using Google Cloud Platform
- Ability to work in the UK; visa sponsorship requirements are covered during the application process
Benefits
- Meaningful equity participation in Axle
- Competitive salary
- Enhanced parental leave
- Company retreats twice a year
- Hybrid working arrangement
- Dog-friendly office
- Opportunity to help shape energy markets and accelerate the transition to a low-carbon future
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