<h2>About Us</h2><p style=""><strong>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.</strong></p><p style="">We’re building the software infrastructure for the decarbonised energy system, backed by some of the best investors in the world (<a href="https://techcrunch.com/2024/08/01/axle-energys-sprint-to-decarbonize-the-grid-lights-up-with-9m-seed-led-by-accel"><strong>TechCrunch</strong></a>).</p><p style="">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.</p><p style="">Read more about what we’re building <a href="https://www.axle.energy/blog/analysis/power-of-the-home"><strong>here</strong></a>.</p><h2></h2><p style=""></p><h2>What you will be doing: </h2><ul style=""><li><p style="">Building, optimising, and deploying models that operate reliably at scale</p></li><li><p style="">Developing a deep understanding of energy markets, grid dynamics, and trading strategies</p></li><li><p style="">Taking ownership of the full lifecycle of your work, from research and prototyping through to production</p></li><li><p style="">Writing clean, production-quality code and contributing to robust, scalable systems</p></li><li><p style="">Working beyond notebooks, turning ideas into real-world, productionised solutions</p></li></ul><p style=""></p><h2>It’d be nice if you could bring:</h2><ul style=""><li><p style="">Knowledge of the electricity system, specifically power trading</p></li><li><p style="">Comfort speaking to clients (we’re a small team and we all wear many hats)</p></li><li><p style="">Familiarity with time-series data</p></li></ul><p style=""></p><h2>Tech stack</h2><p style="">🐍 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.</p><p style="">🎨 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.</p><p style="">🐋 Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility.</p><p style="">☁️ We deploy on GCP</p><h2></h2><p style=""></p><h2>What's in it for you</h2><p style="">A meaningful slice of equity in Axle, alongside a competitive salary. We operate with a deliberately flat structure. We aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation.</p><p style="">The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world.</p><p style="">Bi-annual retreats to strengthen team connection &amp; shared purpose.</p><p style="">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.</p><p style="">We are <em>extremely</em> 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’.</p><p style=""></p><h2>Interview process</h2><ol style=""><li><p style="">Initial interview</p></li><li><p style="">Take-home exercise</p></li><li><p style="">Final interview (in-person)</p></li><li><p style="">Offer, references, and welcome to the team!</p></li></ol>

<p>We build software to move energy usage to times when electricity is cheap and green. Think of it as the operating system for a decarbonized grid.</p><p>We integrate home energy devices into electricity markets to earn consumers money. 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 minimize CO2 and costs, and protect the grid by limiting peak demand.</p><p>We've raised &gt;$10m in funding and in our first 2 years we've connected to &gt;100k devices in the UK alone. Join us to decarbonize the grid.</p>

Data Science

<h2>About Us</h2><p><strong>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.</strong></p><p>We’re building the software infrastructure for the decarbonised energy system, backed by some of the best investors in the world (<a href="https://techcrunch.com/2024/08/01/axle-energys-sprint-to-decarbonize-the-grid-lights-up-with-9m-seed-led-by-accel"><strong>TechCrunch</strong></a>).</p><p>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.</p><p>Read more about what we’re building <a href="https://www.axle.energy/blog/analysis/power-of-the-home"><strong>here</strong></a>.</p><h2></h2><p></p><h2>What you will be doing: </h2><ul><li><p>Building, optimising, and deploying models that operate reliably at scale</p></li><li><p>Developing a deep understanding of energy markets, grid dynamics, and trading strategies</p></li><li><p>Taking ownership of the full lifecycle of your work, from research and prototyping through to production</p></li><li><p>Writing clean, production-quality code and contributing to robust, scalable systems</p></li><li><p>Working beyond notebooks, turning ideas into real-world, productionised solutions</p></li></ul><p></p><h2>It’d be nice if you could bring:</h2><ul><li><p>Knowledge of the electricity system, specifically power trading</p></li><li><p>Comfort speaking to clients (we’re a small team and we all wear many hats)</p></li><li><p>Familiarity with time-series data</p></li></ul><p></p><h2>Tech stack</h2><p>🐍 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.</p><p>🎨 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.</p><p>🐋 Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility.</p><p>☁️ We deploy on GCP</p><h2></h2><p></p><h2>What's in it for you</h2><p>A meaningful slice of equity in Axle, alongside a competitive salary. We operate with a deliberately flat structure. We aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation.</p><p>The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world.</p><p>Bi-annual retreats to strengthen team connection &amp; shared purpose.</p><p>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.</p><p>We are <em>extremely</em> 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’.</p><p></p><h2>Interview process</h2><ol><li><p>Initial interview</p></li><li><p>Take-home exercise</p></li><li><p>Final interview (in-person)</p></li><li><p>Offer, references, and welcome to the team!</p></li></ol>

Data Science

About the Job

About the Company

Axle Energy

Similar Jobs

Senior Data Scientist

Senior Data Scientist

Software Engineer - NYC/Albany, NY

Software Engineer - NYC/Albany, NY

Data Scientist, Power Markets

Data Scientist, Power Markets

Data Scientist

Data Scientist

Data Engineer

Data Engineer

Data Scientist

Data Scientist

Market Analyst

Market Analyst

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Working Student Data Science (f/m/d)

Working Student Data Science (f/m/d)