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- Tasks: Join us in building software to combat climate change and optimise energy usage.
- Company: Dynamic startup focused on decarbonising the energy system with innovative technology.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Make a real-world impact while tackling exciting technical challenges in a collaborative team.
- Qualifications: Experience in data science, Python programming, and a passion for environmental sustainability.
- Other info: Join a diverse team and enjoy a vibrant office culture in London.
The predicted salary is between 28800 - 48000 ÂŁ per year.
We are 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 are 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 will need it. We control tens of thousands of energy assets, and we are growing quickly.
Expectations:
- Insane amounts of ownership
- Hard technical challenges
- What you build is commercially and environmentally valuable
What 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-seeded motivation to combat climate change
Nice to Have:
- Knowledge of the electricity system, specifically power trading
- Comfort speaking to clients
- Familiarity with time-series data
We Donât Want Applicants If:
- Uncertainty scares you
- You arenât prepared to try, fail, and try again
- Youâre looking for a low intensity, low impact role
Interview Process:
- Initial interview
- Take-home exercise
- Final interview (in-person)
- Offer, references, and welcome to the team!
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.
Benefits:
We love the idea of fully remote work but it doesnât work. For very early stage companies, people learn faster, get on better, and accomplish more when theyâre spending a decent chunk of time together. We ask that you spend 2-3 days a week in our London office. We are extremely keen to build a diverse company, and weâre particularly eager to hear from candidates who donât fit the traditional engineering stereotypes. If youâre motivated by our mission, please do reach out, even if you feel you might not âcheck all the boxesâ.
Seniority Level: Mid-Senior level
Employment Type: Full-time
Data Scientist in City of London employer: Axle Energy
Contact Detail:
Axle Energy Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Scientist in City of London
â¨Tip Number 1
Get to know the company and its mission inside out. When youâre chatting with them, show your passion for combating climate change and how your skills can help. We want to see that youâre not just another candidate, but someone who genuinely cares about making a difference.
â¨Tip Number 2
Prepare for the technical challenges by brushing up on your Python skills and familiarising yourself with their tech stack. We recommend doing some hands-on projects or exercises that showcase your ability to ship delightful software quickly. This will give you an edge during the interview process.
â¨Tip Number 3
Donât shy away from showing your personality! Theyâre looking for someone who fits into their tight-knit team, so be yourself and let your enthusiasm shine through. Share your experiences and how they relate to the role, especially if youâve tackled similar challenges before.
â¨Tip Number 4
Finally, apply through our website! Itâs the best way to ensure your application gets seen. Plus, it shows youâre serious about joining the team. Weâre excited to see what you bring to the table!
We think you need these skills to ace Data Scientist in City of London
Some tips for your application đŤĄ
Show Your Passion for Climate Change: When you're writing your application, let us see your enthusiasm for tackling climate change. Share any relevant experiences or projects that highlight your commitment to making a real-world impact. We want to know why this mission matters to you!
Be Specific About Your Skills: Donât just list your skills; show us how they relate to the role of a Data Scientist in our team. Mention your experience with Python, machine learning, or any familiarity with time-series data. The more specific you are, the better we can see how you fit into our vision.
Keep It Clear and Concise: We appreciate clarity! 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 the role. Remember, weâre looking for someone who can communicate effectively.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it shows us youâre keen to join our team!
How to prepare for a job interview at Axle Energy
â¨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and the electricity system. Be ready to discuss how you can apply these skills to tackle real-world challenges in climate energy. Familiarity with time-series data will also give you an edge!
â¨Show Your Passion
This role is all about making a difference in the fight against climate change. Be prepared to share why this mission resonates with you and how your previous experiences align with their goals. Authentic enthusiasm can really set you apart!
â¨Prepare for Technical Challenges
Expect hard technical questions during the interview. Practice coding problems in Python and be ready to demonstrate your problem-solving skills. They want to see how you think, so donât shy away from discussing your thought process.
â¨Embrace Ownership and Teamwork
This company values ownership and collaboration. Be ready to discuss examples from your past where you took initiative and worked closely with others. Highlighting your ability to wear multiple hats and adapt will show youâre a great fit for their tight-knit team.
