Data Scientist - Energy Markets & Production Systems

Axle Energy Limited; Greater London; Hybrid; GBP 75,000 - 200,000; Full time

Benefits offered by this job

Equity

Hybrid working

Enhanced parental leave

Bi-annual retreats

Dog-friendly office

Job summary

Axle Energy Limited is hiring full stack data scientists who own the complete data lifecycle, from exploration to production. You’ll build, optimise, and deploy models that scale across energy assets, while developing a deep understanding of energy markets and grid dynamics.

You’ll write production‑quality code and collaborate directly with clients in a small, fast-moving team. The role blends hands-on data work with client-facing responsibilities, in a hybrid London office environment, and

Qualifications

• Experience building, deploying models at scale.
• Understanding of energy markets, grid dynamics, and trading strategies.
• Ownership of the full lifecycle from research and prototyping through to production.
• Writing clean, production-quality code and contributing to robust, scalable systems.
• Comfort talking to clients and collaborating across teams.

Responsibilities

• 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.

Skills

Python

React

Time-series data

Client communication

Data modelling

Tools

Docker

GCP

Job description

Axle Energy Limited is hiring full stack data scientists who own the complete data lifecycle, from exploration to production. You’ll build, optimise, and deploy models that scale across energy assets, while developing a deep understanding of energy markets and grid dynamics.

You’ll write production‑quality code and collaborate directly with clients in a small, fast-moving team. The role blends hands-on data work with client-facing responsibilities, in a hybrid London office environment, and