At a Glance
- Tasks: Own the full lifecycle of data models that impact energy usage and emissions.
- Company: Innovative London startup tackling the planet's energy problem with cutting-edge software.
- Benefits: Competitive salary, generous equity, flexible office days, and a chance to make a real difference.
- Other info: VISA sponsorship available; dynamic environment with opportunities for growth.
- Why this job: Join a mission-driven team and see your work directly impact energy systems and sustainability.
- Qualifications: Strong ML fundamentals, Python skills, and curiosity about energy markets.
The predicted salary is between 60000 - 120000 £ per year.
Salary: £60-120k (+ generous early stage equity). Location: Central London, EC1 (2-3 office days/week).
The planet has an energy problem.
You can help fix it.
This London startup is building software that intelligently shifts when energy gets used - coordinating EV charging, home batteries and heating systems across hundred of thousands of assets in real time.
The result: cheaper bills, greener grids and a system that actually works for the future.
Their ML models sit at the heart of it all, predicting demand and automating decisions at a scale that genuinely moves the needle on emissions.
Backed by some of the best investors in the world, they have serious momentum behind them and are looking for multiple Data Scientists to join their mission.
About the role: This isn't a research job where your models live in notebooks forever.
You'll own your work end-to-end - from the initial hypothesis through to production systems that run in the real world, at scale, every day.
You'll get deep into energy markets and grid dynamics, building the kind of domain expertise that's genuinely rare (and valuable! - should you ever choose to leave us).
You'll write production-quality Python, collaborate closely with engineers, and push ideas from prototype to deployment without throwing things over a wall.
If you're the kind of person who gets a kick out of seeing something you built running in production - and finds energy markets genuinely fascinating - you'll fit right in.
- Stack
- Python
- Docker
- GCP
- Streamlit for internal tooling
- Figma for rapid prototyping before anything gets built
- No unnecessary complexity - just tools that help move fast and build things that last.
You'll thrive here if you
- Have strong ML fundamentals and know how to take models beyond the notebook
- Write clean, production-ready Python and care about code quality
- Are comfortable owning the full lifecycle of your work
- Are curious about how energy systems, grids, and markets actually function
- Can talk to non-technical stakeholders without breaking a sweat
- Experience with time-series data
- Background in power trading or electricity markets
- Comfort working directly with clients
VISA sponsorship is available if needed.
#J-18808-Ljbffr
Data Scientist in City of Westminster employer: The wave
The Wave in London is an exceptional employer, offering a dynamic startup environment where data scientists can thrive while making a significant impact on energy efficiency. With competitive salaries and generous equity options, employees are encouraged to grow their skills through hands-on experience in cutting-edge technologies. The hybrid work model promotes a healthy work-life balance, making it an attractive place for those looking to contribute meaningfully to the future of energy grids.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in City of Westminster
✨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 The wave!
✨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 Scientist at The wave.
✨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 The wave.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at The wave, 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 Scientist in City of Westminster
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 The wave, 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 The wave. 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 The wave
✨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 The wave!
✨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.
