At a Glance
- Tasks: Dive into data science to combat climate change and build impactful software.
- Company: Join a cutting-edge tech company focused on decarbonising energy systems.
- Benefits: Equity, competitive salary, hybrid work, and bi-annual team retreats.
- Other info: Flat structure, diverse team, and opportunities for personal growth.
- Why this job: Make a real difference in energy markets while tackling hard technical challenges.
- Qualifications: Experience in data science, Python, and a passion for environmental impact.
The predicted salary is between 28800 - 48000 £ per year.
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 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 ❤️ 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.
- 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.
- 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:
- Initial interview
- Take-home exercise
- Final interview (in-person)
- Offer, references, and welcome to the team!
Data Science employer: Axle Energy Limited
Axle Energy Limited is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about driving change in the energy sector. With a competitive compensation package that includes equity shares, flexible hybrid working arrangements in the vibrant Farringdon area, and enhanced parental leave, we prioritise employee well-being and growth. Join us to not only advance your career but also make a meaningful impact on the transition to a low-carbon world.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science
✨Tip Number 1
Get to know the company inside out! Research their mission, values, and recent projects. This will not only help you in interviews but also show your genuine interest in their work against climate change.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. A friendly chat can sometimes lead to insider tips or even a referral, which can give you a leg up in the hiring process.
✨Tip Number 3
Prepare for technical challenges! Brush up on your Python skills and be ready to discuss your experience with machine learning and time-series data. Practising coding problems can really boost your confidence.
✨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, it shows you’re serious about joining our mission to revolutionise energy usage.
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 looking for a job, but that you genuinely care about making a difference in the energy sector.
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 can contribute to our mission, so don’t hold back!
Be Yourself:We’re a tight-knit team, and we value authenticity. Don’t be afraid to let your personality shine through in your application. Share your unique perspective and what makes you a great fit for our culture.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your enthusiasm and ensure you’re considered for the role!
How to prepare for a job interview at Axle Energy Limited
✨Know Your Stuff
Make sure you brush up on your knowledge of the electricity system and power trading. Familiarise yourself with time-series data, as this will likely come up in your interview. Being able to discuss these topics confidently will show that you're serious about the role.
✨Show Your Passion for Climate Change
This company is all about making a real-world impact in the fight against climate change. Be prepared to share why this mission resonates with you personally. Highlight any relevant experiences or projects that demonstrate your commitment to sustainability.
✨Demonstrate Your Technical Skills
Since they use Python extensively, be ready to talk about your experience with it. Bring examples of production code you've written, especially if it relates to machine learning or energy systems. If you’ve worked with Docker or GCP, make sure to mention that too!
✨Be Ready for Collaboration
This team values collaboration and wearing many hats. Prepare to discuss how you've worked in tight-knit teams before and how you handle uncertainty. Share examples of times when you tried, failed, and tried again, as this aligns with their culture of innovation.
