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? Data Scientist

? London (Hybrid)


I’m working with a fast-growing climate tech startup building the software infrastructure behind the decarbonised energy grid. Their platform controls large-scale energy assets including EV charging, batteries, and heating systems — helping shift electricity usage to cheaper and greener times.


? Why this role stands out:

• Work on real-world ML systems operating at scale

• Build production software, not just research models

• Direct impact on energy markets + decarbonisation

• High ownership in a fast-moving engineering team

• Strong engineering + data science collaboration


? You’ll:

• Build, optimise, and deploy ML models in production

• Work with time-series and real-world operational data

• Develop a deep understanding of energy systems + trading dynamics

• Own projects end-to-end from research → deployment

• Contribute to scalable backend systems and tooling


? Looking for:

• Strong Python skills

• Experience deploying models into production environments

• Product-minded data scientists who enjoy building software

• Comfortable working across modelling, engineering, and real-world operations

• Bonus: energy markets or time-series experience


The team is particularly interested in hearing from candidates with non-traditional backgrounds who are excited by the mission — even if you don’t tick every box.