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- 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 team retreats.
- Why this job: Make a real difference in the fight against climate change while developing innovative solutions.
- Qualifications: Experience in data science, Python, and a passion for environmental impact.
- Other info: Dynamic team culture with opportunities for personal and professional growth.
The predicted salary is between 28800 - 48000 ÂŁ per year.
About Us
Weâre hiring data scientists who get into the weeds, ship delightful software, and want to step into the arena in the fight against climate change. Weâre 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 theyâll need it. We control tens of thousands of energy assets, and weâre 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 itâd be nice if you could bring:
- knowledge of the electricity system, specifically power trading
- comfort speaking to clients (weâre a small team and we all wear many hats)
- familiarity with time-series data
You shouldnât apply if:
- uncertainty scares you
- you arenât prepared to try, fail, and try again
- youâre 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 â¤ď¸ Streamlit. We try a bunch of things in Figma before we build them in code, because itâs 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.
Whatâs 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 weâre particularly eager to hear from candidates who donât fit the traditional role stereotypes. If youâre motivated by our mission, please do reach out, even if you feel you might not âcheck all the boxesâ.
Interview process
- Initial interview
- Take-home exercise
- Final interview (in-person)
- Offer, references, and welcome to the team!
Data Science in London employer: Axle Energy Limited
Contact Detail:
Axle Energy Limited Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Science in London
â¨Tip Number 1
Get to know the company inside out! Research their mission, values, and recent projects. This will help you tailor your conversations during interviews and show that you're genuinely interested in their work.
â¨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.
â¨Tip Number 3
Prepare for those 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.
â¨Tip Number 4
Donât forget to showcase your passion for climate change! Be ready to share how your skills can contribute to their mission. We love seeing candidates who are not just qualified but also motivated by making a real-world impact.
We think you need these skills to ace Data Science in London
Some tips for your application đŤĄ
Show Your Passion for Climate Change: When you're writing your application, let us know why you're passionate about combating climate change. We want to see that fire in your belly! Share any relevant experiences or projects that highlight your commitment to making a real-world impact.
Be Specific About Your Skills: We love it when candidates get into the nitty-gritty of their skills. If youâve worked with Python, machine learning, or time-series data, make sure to mention specific projects or achievements. This helps us see how you can contribute to our mission!
Keep It Clear and Concise: While we appreciate creativity, clarity is key! Make sure your application is easy to read and straight to the point. Avoid jargon unless itâs necessary, and focus on what makes you a great fit for our team.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to keep track of your application and ensures you donât miss out on any important updates. Plus, it shows youâre serious about joining our team!
How to prepare for a job interview at Axle Energy Limited
â¨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 one who understands the industry.
â¨Show Your Passion for Climate Change
During the interview, express your motivation to combat climate change. Share any relevant experiences or projects that highlight your commitment to making a real-world impact. This aligns perfectly with the company's mission and will resonate with the interviewers.
â¨Be Ready to Collaborate
Since the team wears many hats, demonstrate your ability to work collaboratively. Prepare examples of past teamwork where you contributed to a projectâs success. Highlight your comfort in communicating with clients, as this is a key aspect of the role.
â¨Prepare for Technical Challenges
Expect to face some tough technical questions or challenges during the interview process. Brush up on Python and be ready to discuss your experience with production code. Practising coding problems related to machine learning can also give you an edge.
