Data Scientist

Job title:

Data Scientist

Company

Axle Energy

Job description

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.RequirementsYou 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

Interview process

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

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 Streamlit.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 but don’t feel strongly about it.BenefitsWe love the idea of fully remote work but it doesn’t… work. For very early stage companies, people learn faster, get on better, and accomplish more when they’re spending a decent chunk of time together. We ask that you spend 2-3 days a week in our London 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 engineering stereotypes. If you’re motivated by our mission, please do reach out, even if you feel you might not ‘check all the boxes’.

Expected salary

Location

London

Job date

Thu, 13 Feb 2025 23:28:25 GMT

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