Data Science
Axle Energy · London
£75k–£200kYesterday
HybridFull_timeenergy marketspower tradinggrid dynamics
£75k–£200k
Yesterday
Salary
£75k–£200k
Workplace
Hybrid
Employment
Full_time
Location
London
Posted
Yesterday
Summary
This full-stack data science role builds and deploys models for energy assets and markets, using Python, Docker, and GCP. The role is hybrid, with 2–3 days a week in the Farringdon office.
Responsibilities
- Build, optimise, and deploy reliable models
- Research, prototype, and productionise data science work
- Write production-quality code for scalable systems
- Develop models informed by energy markets and trading
pythonreactdockergcptime seriesclaude code
energy marketspower tradinggrid dynamicsdistributed energy resources
