Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Apply data science to renewable energy projects and develop innovative geospatial tools.
- Company: Leading clean energy developer in the UK with a focus on sustainability.
- Benefits: Competitive salary, career growth, and the chance to work on impactful projects.
- Why this job: Join a high-impact team and contribute to the future of renewable energy.
- Qualifications: Strong Python and SQL skills, plus a passion for renewable energy.
- Other info: Exciting opportunities in a rapidly growing sector with a positive environmental impact.
The predicted salary is between 40000 - 50000 £ per year.
A clean energy developer in the UK is seeking a Data Scientist to join their high-impact engineering team. The role involves applying data science to solar PV, battery energy storage, and next-generation technologies.
Responsibilities include:
- Building geospatial tools
- Developing market models
- Applying machine learning techniques
Ideal candidates will have strong Python and SQL skills, as well as an interest in renewable energy. This position offers a chance to work on impactful projects and accelerate your career in a rapidly growing sector.
Impact Data Scientist: Renewables, Grid Analytics & ML employer: Green Recruitment Company
Contact Detail:
Green Recruitment Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Impact Data Scientist: Renewables, Grid Analytics & ML
✨Tip Number 1
Network like a pro! Reach out to professionals in the renewable energy sector on LinkedIn. Join relevant groups and engage in discussions about solar PV and battery storage – it’s a great way to get noticed and learn about hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data science, especially those involving Python and SQL. This will give potential employers a taste of what you can do and how you can contribute to their impactful projects.
✨Tip Number 3
Prepare for interviews by brushing up on your machine learning knowledge. Be ready to discuss how you would apply these techniques to real-world problems in renewables. Practising common interview questions can help you feel more confident when the time comes.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities in the clean energy sector. Keep an eye on our listings and make sure your application stands out by tailoring it to each role you’re interested in.
We think you need these skills to ace Impact Data Scientist: Renewables, Grid Analytics & ML
Some tips for your application 🫡
Show Your Passion for Renewables: When writing your application, let us see your enthusiasm for renewable energy! Share any relevant projects or experiences that highlight your interest in solar PV, battery storage, or other green technologies.
Highlight Your Technical Skills: Make sure to showcase your Python and SQL skills clearly. We want to know how you've used these tools in past projects, so don’t hold back on the details!
Tailor Your Application: Customise your CV and cover letter to align with the job description. Mention specific responsibilities from the role that excite you and how your experience fits into those areas.
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!
How to prepare for a job interview at Green Recruitment Company
✨Know Your Data Science Basics
Brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in relation to renewable energy or geospatial tools.
✨Show Your Passion for Renewables
Make sure to express your enthusiasm for clean energy and how it aligns with your career goals. Share any relevant experiences or projects that demonstrate your commitment to sustainability and innovation in this field.
✨Prepare for Technical Questions
Expect questions about machine learning techniques and market models. Practice explaining complex concepts in simple terms, as you may need to demonstrate your understanding of how these apply to solar PV and battery storage.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future plans in the renewables sector. This shows your genuine interest and helps you assess if the company is the right fit for you.