At a Glance
- Tasks: Build and optimise data models for a sustainable energy future.
- Company: Join Axle Energy, a fast-growing tech company revolutionising the energy sector.
- Benefits: Competitive salary, equity options, enhanced parental leave, and hybrid working.
- Other info: Diverse team culture with opportunities for personal and professional growth.
- Why this job: Shape the future of energy markets while making a real-world impact.
- Qualifications: Knowledge of electricity systems and comfort in client interactions.
The predicted salary is between 75000 - 200000 £ per year.
About Us
At Axle Energy, we’re building the infrastructure that will underpin the decarbonised energy system. Our software moves energy usage to times when electricity is cheap and green, by controlling vehicle charging, heating systems, and home batteries. We control hundreds of thousands of energy assets. We’re building in a legacy industry and moving gigawatt-hours of electrons in the real world, but we operate at lightning speed, and we’re growing the team to meet customer demand. We’re proud to be supported by world-leading investors, including Energize Capital and Accel.
About The Role
- Building, optimising, and deploying models that operate reliably at scale
- Developing a deep understanding of energy markets, grid dynamics, and trading strategies
- Taking ownership of the full lifecycle of your work, from research and prototyping through to production
- Writing clean, production-quality code and contributing to robust, scalable systems
- Working beyond notebooks, turning ideas into real-world, productionised solutions
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 wear many hats)
- Familiarity with time-series data
Tech stack
- We build in Python + React for the frontend (less relevant for this role)
- Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility.
- Unlimited Claude Code tokens - we are aggressive users and explorers of AI, and encourage everybody to reconsider their workflows regularly
- We deploy on GCP
What's in it for you
- A meaningful slice of equity in Axle, alongside a competitive salary, with total compensation ranging from £75k–£200k (base salary + equity).
- We operate with a deliberately flat structure and aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation.
- Enhanced parental leave to support you through life's meaningful moments.
- Bi-annual retreats to strengthen team connection & shared purpose.
- 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.
- The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world.
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: Soapbox
At Elliptic, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our team enjoys a dynamic work environment where continuous learning and professional growth are encouraged, alongside competitive benefits and a commitment to work-life balance. Located in a vibrant tech hub, we offer unique opportunities to work with cutting-edge technologies while making a meaningful impact in the world of secure and scalable platforms.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Soapbox!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science at Soapbox.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Soapbox.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science at Soapbox, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Soapbox, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Soapbox. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Soapbox
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Soapbox!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
