Data Scientist
Axle Energy
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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About the role
- 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
Requirements
- Knowledge of the electricity system, specifically power trading
- Comfort speaking to clients
- Familiarity with time-series data
Benefits
- A meaningful slice of equity in Axle
- Competitive salary
- Bi-annual retreats to strengthen team connection & shared purpose
- Hybrid working - dog-friendly office around Farringdon, 2-3 days a week in the office
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
model buildingmodel optimizationproduction-quality codescalable systemstime-series data analysis
Soft Skills
client communicationownershipproblem-solving