Data Scientist

Axle Energy

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Equity in Axle
Shape energy markets
Bi-annual retreats
Hybrid working
Dog-friendly office
Diversity-friendly culture

Job summary

Axle Energy is hiring data scientists in London to build software for decarbonised energy systems. You’ll own end-to-end data science work, shipping production-grade code that moves energy usage to cheaper, greener times.

Join a small, mission-driven team focused on real-world impact and fast iteration, combining ML with software to optimize energy assets and markets.

Qualifications

  • A strong sense of ownership and delivery.
  • Ability to tackle hard technical challenges and ship production code.
  • Motivation to combat climate change and create commercially valuable solutions.

Responsibilities

  • Develop data science solutions to optimize energy usage and charging systems.
  • Collaborate with a small cross-functional team to ship and iterate rapidly.
  • Engage with clients as needed to explain models and results.

Skills

Ownership
Client communication
Climate impact motivation

Tools

Python
Docker
Google Cloud Platform

Job description

We’re hiring data scientists who get into the weeds, ship delightful software, and want to step into the arena in the fight against climate change.

We’re building the software infrastructure for the decarbonised energy system, backed by some of the best investors in the world.

We make the technology to move energy usage to times when electricity is cheap and green. Our software controls vehicle charging, heating systems, and home batteries. We use machine learning to figure out what energy people will need, and when they'll need it. We control tens of thousands of energy assets, and we’re growing quickly.

Read more about what we’re building.

Requirements
You can expect:
  • insane amounts of ownership
  • hard technical challenges
  • that what you build is commercially and environmentally valuable
In return, we ask for:
  • the courage to build new things fast
  • a commitment to real world impact over technical perfection
  • a desire to help build and lead an exceptional and tight knit team
  • deep-seated motivation to combat climate change
And 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 we all wear many hats)
  • familiarity with time-series data
You shouldn't apply if:
  • uncertainty scares you
  • you aren't prepared to try, fail, and try again
  • you're looking for a low intensity, low impact role
Tech stack

We do everything in Python, because it allows data scientists and engineers to collaborate closely and move quickly. Our data scientists write lots of production code.

We try a bunch of things in Figma before we build them in code, because it's a fast and cheap way to get feedback.

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

We deploy on GCP.

Benefits
  • A meaningful slice of equity in Axle, alongside a competitive salary.
  • The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world.
  • Bi-annual retreats to strengthen team connection & shared purpose.
  • Hybrid working - We have a dog-friendly office around Old Street. To maximize collaboration, we ask that you spend 2-3 days a week in the office.
  • 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
  1. Initial interview
  2. Take-home exercise
  3. Final interview (in-person)
  4. Offer, references, and welcome to the team!

Job posting details for Data Scientist at Axle Energy in London England United Kingdom. . ClimateTechList gathers 9,000+ job openings from over 509 climate tech companies and updates them daily.

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