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- Tasks: Develop software to combat climate change and optimise energy usage.
- Company: Innovative tech company focused on decarbonising the energy system.
- Benefits: Equity, competitive salary, and bi-annual team retreats.
- Why this job: Make a real impact on the future of energy markets.
- Qualifications: Experience in data science, Python, and a passion for sustainability.
- Other info: Join a tight-knit team tackling hard technical challenges.
The predicted salary is between 28800 - 48000 ÂŁ per year.
About Us
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.
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’re 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 ❤️ 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.
What’s in it for you
- 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.
Data Science employer: Axle Energy
Contact Detail:
Axle Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to energy systems or machine learning. We love seeing real-world applications of your work, so make sure to highlight any relevant experience.
✨Tip Number 3
Prepare for the interview by understanding our mission and tech stack. Brush up on Python and be ready to discuss how you can contribute to our fight against climate change. We want to see your passion and knowledge shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for candidates who are genuinely interested in what we do.
We think you need these skills to ace Data Science
Some tips for your application 🫡
Show Your Passion for Climate Change: When writing your application, let us know why you're passionate about combating climate change. We want to see that you’re not just in it for the tech, but also for the real-world impact it can have.
Highlight Relevant Experience: Make sure to showcase any experience you have with data science, especially if it relates to energy systems or machine learning. We love seeing how your background aligns with our mission!
Be Authentic and Personal: Don’t be afraid to let your personality shine through in your application. We’re a tight-knit team, and we value authenticity. Share your story and what drives you to apply for this role.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Axle Energy
✨Know Your Stuff
Make sure you brush up on your knowledge of the electricity system and power trading. Familiarise yourself with time-series data and how it relates to energy usage. This will show that you're not just a data scientist, but someone who understands the industry and its challenges.
✨Show Your Passion for Climate Change
Be ready to discuss why combating climate change matters to you. Share any personal experiences or projects that highlight your commitment to making a real-world impact. This role is all about ownership and motivation, so let your passion shine through!
✨Demonstrate Your Technical Skills
Since they use Python extensively, be prepared to talk about your experience with it. Bring examples of production code you've written and be ready to discuss how you've used machine learning in past projects. They want to see that you can ship delightful software quickly.
✨Embrace the Challenge
This company values courage and the willingness to try, fail, and try again. Be open about your approach to problem-solving and how you handle uncertainty. Share stories where you've tackled hard technical challenges and what you learned from them.