Data Scientist

Axle Energy Limited
London
1 year ago
Applications closed

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Data Scientist - Supply Chain Optimisation

We’re hiring data scientists who want to get into the weeds of our electricity system, and optimize the usage of renewables in the net zero grid of the future.

The electricity grid is changing beyond recognition, and without deploying new software to orchestrate it, we’ll be unable to decarbonise.

At Axle, we’re building the infrastructure that’ll underpin the decarbonised energy system. Our software crushes CO2 and energy costs. Our goal is insanely ambitious, and we’re building a team to match the scale of this challenge. We’ve just raised a Seed round from world-leading investors including Accel (TechCrunch) and we’re growing fast.

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.

Axle is a unique startup. We’re building in a legacy industry and moving gigawatt-hours of electrons in the real world, but we operate at lightning speed. We ship extraordinarily quickly, and we’re experts in electricity systems. We’re backed by some of the best investors in the world, and we’re growing the team to meet customer demand.

Read more about what we’re building here.

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

We ask that you spend 2-3 days a week in our London office.

We're looking to pay £50-90k: we’re open to talented folks with little or lots of experience. You'll also receive a meaningful slice of equity in the company.

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


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