Data Science

Axle Energy
London, United Kingdom
Hybrid

Who this role is best for

Aimed at mid-to-senior level data scientists who can bridge technical and commercial domains and thrive in a collaborative, equity-driven environment.

Best fit for

  • Candidates with experience in energy markets and time-series modeling who enjoy hands-on, end-to-end project ownership
    — “Developing a deep understanding of energy markets, grid dynamics, and trading strategies”
  • Individuals who can contribute to scalable systems and have a strong coding background in Python
    — “Writing clean, production-quality code and contributing to robust, scalable systems”

Things to consider

  • Hybrid work requires regular in-office days in London, which may impact remote flexibility
    — “We ask that you spend 2-3 days a week in the office”
  • The role operates in a legacy industry, which may require adaptation to traditional energy systems
    — “We’re building in a legacy industry and moving gigawatt-hours of electrons in the real world”

How to stand out

  • Highlight experience with deploying models at scale and working in production environments
    — “Building, optimising, and deploying models that operate reliably at scale”
  • Showcase knowledge of power trading and energy markets in your resume and interview responses
    — “Knowledge of the electricity system, specifically power trading”
  • Emphasize your ability to take ownership of projects from research to production
    — “Taking ownership of the full lifecycle of your work, from research and prototyping through to production”
  • Demonstrate familiarity with Docker and time-series data in your application materials
    — “Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility”
  • Mention your comfort with client-facing work and cross-functional collaboration
    — “Comfort speaking to clients (we’re a small team and wear many hats)”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Built and deployed models at scale
  • Developed deep understanding of energy markets
Typical background
Full stack data scientistExperience in energy systems

Skills & requirements

Required

PythonData ExplorationModel DeploymentEnergy MarketsGrid Dynamics

Preferred

Power TradingClient CommunicationTime-series Data

Stack & domain

PythonReactDockerGCPAITime-series DataEnergy MarketsGrid DynamicsTrading StrategiesCommercial ValueClient CommunicationTeamworkOwnershipEnergyData Science

About the role

Original posting from Axle Energy via Ashby

ABOUT US

At Axle Energy, we’re building the infrastructure that will underpin the decarbonised energy system. Our software moves energy usage to times when electricity is cheap and green, by controlling vehicle charging, heating systems, and home batteries. We control hundreds of thousands of energy assets.

We’re building in a legacy industry and moving gigawatt-hours of electrons in the real world, but we operate at lightning speed, and we’re growing the team to meet customer demand.

We’re proud to be supported by world-leading investors, including Energize Capital and Accel.

Read more about what we’re building here https://www.axle.energy/blog/analysis/power-of-the-home.

ABOUT THE ROLE

We're hiring full stack data scientists who love to get into the nitty gritty of the domain, have an instinct for commercial value, and own the entire process from data exploration to production.

  • 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

IT’D BE NICE IF YOU COULD BRING:

  • Knowledge of the electricity system, specifically power trading
  • Comfort speaking to clients (we’re a small team and wear many hats)
  • Familiarity with time-series data

TECH STACK

🐍 We build in Python + React for the frontend (less relevant for this role)

🐋 Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility.

🤖 Unlimited Claude Code tokens - we are aggressive users and explorers of AI, and encourage everybody to reconsider their workflows regularly

☁️ We deploy on GCP

WHAT'S IN IT FOR YOU

A meaningful slice of equity in Axle, alongside a competitive salary, with total compensation ranging from £75k–£200k (base salary + equity).

We operate with a deliberately flat structure and aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation.

Enhanced parental leave to support you through life's meaningful moments.

Bi-annual retreats to strengthen team connection & shared purpose.

Hybrid working - We have a dog-friendly office around Farringdon. To maximize collaboration, we ask that you spend 2-3 days a week in the office.

The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world.

We are extremely keen to build a diverse company, and we’re particularly eager to hear from candidates who don't fit the traditional role stereotypes. If you’re motivated by our mission, please do reach out, even if you feel you might not ‘check all the boxes’.

INTERVIEW PROCESS

  • Initial interview
  • Take-home exercise
  • Final interview (in-person)
  • Offer, references, and welcome to the team!

Source: Axle Energy careers (Ashby)

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