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- Tasks: Develop energy market models and create dashboards for solar and battery projects.
- Company: Fast-growing clean energy developer with a focus on innovative technologies.
- Benefits: Hybrid work model, competitive salary, and opportunities to shape the future of energy.
- Other info: Work on high-impact projects in a rapidly scaling environment.
- Why this job: Join a dynamic team and make a real impact on renewable energy solutions.
- Qualifications: Strong Python skills and experience with SQL and data visualisation tools.
The predicted salary is between 50000 - 70000 £ per year.
I am looking for a Data Scientist to join a fast-growing clean energy developer working across solar PV, battery energy storage (BESS), and next-generation energy technologies in the UK.
This is not a typical entry-level role; you’ll be embedded in a high-impact engineering and development team, applying data science to projects that directly influence how energy is generated, stored, and distributed.
A dynamic and rapidly scaling clean energy developer with a multi-gigawatt pipeline of solar and battery storage projects across the UK. The team has a strong track record of delivering projects from concept through to consent. The business is also exploring emerging areas such as data centres and onshore wind, offering exposure beyond traditional renewables.
- Develop energy market models & revenue forecasts for solar and BESS projects
- Create dashboards and automated reporting tools to track performance and pipeline progress
- Work with large, complex datasets (grid, weather, project data)
- Support engineering teams with power systems analysis and statistical modelling
- Apply machine learning techniques for yield prediction and optimisation
- Contribute to technical reports, planning submissions, and investor materials
Requirements:
- Strong Python skills (pandas, NumPy, scikit-learn, matplotlib)
- Experience with SQL and relational databases
- Solid understanding of statistics and machine learning fundamentals
- Experience with data visualisation tools (Power BI, Plotly, Streamlit) is a plus
Work on high-impact renewable energy projects shaping the UK’s energy future.
Data Marketing Scientist in City of London employer: The Green Recruitment Company
Contact Detail:
The Green Recruitment Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Marketing Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the clean energy sector on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and machine learning. We recommend sharing this on platforms like GitHub to impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We suggest practising common data science interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities in the clean energy space, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Marketing Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your Python prowess, SQL experience, and any work with large datasets. We want to see how you can contribute to our clean energy projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for renewable energy and how your background aligns with our mission. Let us know why you're excited about working on high-impact projects in solar and BESS.
Showcase Your Projects: If you've worked on relevant projects, whether in school or professionally, make sure to mention them. We love seeing practical applications of your skills, especially in data visualisation and machine learning techniques!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in shaping the UK’s energy future!
How to prepare for a job interview at The Green Recruitment Company
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills, especially with libraries like pandas and NumPy. Be ready to discuss how you've applied machine learning techniques in past projects, as this role is all about using data science to influence energy generation and storage.
✨Understand the Clean Energy Landscape
Familiarise yourself with solar PV, battery energy storage, and emerging energy technologies. Showing that you understand the industry and its challenges will impress the interviewers and demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect questions on statistics, machine learning fundamentals, and SQL. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with engineering teams and stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific examples where you've tackled complex datasets or created dashboards and reporting tools. Highlight how your contributions have made a tangible impact on previous projects, especially in renewable energy contexts.