At a Glance
- Tasks: Transform raw data into valuable insights using AI tools and research skills.
- Company: Join Voltility, a fast-growing market intelligence platform in the energy sector.
- Benefits: Competitive salary, growth opportunities, and a chance to shape the future of energy.
- Other info: Dynamic role with clear paths for personal and professional development.
- Why this job: Be part of an exciting team driving the energy transition and data centre markets.
- Qualifications: Detail-oriented graduates or early-career individuals with a passion for data and energy.
The predicted salary is between 63000 - 77000 £ per year.
Voltility is a market intelligence platform for the people building, powering and financing the energy transition and data centre power markets. We track battery storage and hybrid power projects across the US and Europe, and in 2026 launched data-centre power coverage. Following new investment we're growing the team quickly, so this is a chance to join early and help shape the business at an exciting time.
The Data Research team is Voltility's investigative force. You'll turn raw data into intelligence, working with AI tooling as you piece together critical insight to build complete, trusted profiles and data sets for the market. You'll sit within a research squad and the role will grow with you. As your knowledge builds you'll go direct to market participants, open up new data sets and shape the tooling behind them. There's a clear path to owning your own collection area, and you'll build deep expertise in the energy transition and data-centre markets along the way.
Key responsibilities:
- Build data profiles from the early clues to complete intelligence records with unique insight.
- Investigate new data sets by testing sources and supporting AI tooling development.
- Use AI tooling to collect and structure data at scale.
- Challenge and verify machine-collected records by cross-checking with other sources and your own developed knowledge.
- Triangulate public records with proprietary intelligence to confirm and enrich data points.
- Conduct outbound data collection by contacting key market participants to obtain data points and build your own source.
- Grow knowledge to become a subject matter expert in key topics around the renewable energy transition and data centre market.
- Support the development of new products and features for customers across the platform.
Suggested Experience:
- Graduate or early-career with a strong eye for detail and a methodical approach to checking facts against sources.
- Comfortable in spreadsheets and data tools, and willing to learn basic querying.
- Interest in energy and data centre markets and an appetite to build deep knowledge quickly.
- Strong written communicator.
- Previous research, data or journalism experience helpful.
Data Researcher in London employer: Voltility
Voltility is an excellent employer for those looking to make a meaningful impact in the renewable energy sector. With a vibrant work culture that encourages collaboration and innovation, employees benefit from flexible working arrangements, opportunities for professional growth, and regular engagement with industry leaders. This role not only offers exposure to the corporate world but also positions you at the forefront of clean energy investment, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Researcher in London
✨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 Voltility!
✨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 Researcher at Voltility.
✨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 Voltility.
✨Apply Directly through Our Website
When you find a suitable opening like Data Researcher at Voltility, 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 Researcher in London
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 Voltility, 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 Voltility. 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 Voltility
✨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 Voltility!
✨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.
