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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 that influence how energy is generated and distributed.
- Why this job: Join a dynamic team and make a real impact on renewable energy solutions.
- Qualifications: Strong Python skills and experience with SQL; knowledge of machine learning is a plus.
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.
Marketing Data 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 Marketing Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the clean energy sector, especially those working on solar and BESS projects. Attend industry events or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to energy tech. Use platforms like GitHub to share your code and visualisations, making it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, SQL, and machine learning techniques. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with engineering teams.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make a difference in the renewable energy space. Your next big opportunity could be just a click away!
We think you need these skills to ace Marketing Data Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Marketing Data Scientist. Highlight your experience with Python, SQL, and any relevant projects in solar or energy tech. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for clean energy and data science. Tell us why you’re excited about this role and how you can contribute to our team’s success in shaping the UK’s energy future.
Showcase Your Projects: If you've worked on any relevant projects, whether in school or professionally, make sure to include them. We love seeing real-world applications of your skills, especially in energy market models or machine learning techniques!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 will require you to dive deep into data analysis and modelling.
✨Understand the Clean Energy Landscape
Familiarise yourself with solar PV, battery energy storage, and emerging energy technologies. Being able to speak knowledgeably about current trends and challenges in the clean energy sector will show that you're genuinely interested in the field and understand its impact.
✨Prepare for Technical Questions
Expect questions that test your statistical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with engineering teams and stakeholders.
✨Showcase Your Visualisation Skills
If you have experience with data visualisation tools like Power BI or Plotly, be sure to highlight this. Prepare examples of dashboards or reports you've created, as this will demonstrate your ability to present data clearly and effectively.