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For Companies At a Glance
- Tasks: Analyse renewable energy data and build tools to enhance performance and decision-making.
- Company: Fast-growing renewable energy asset owner/operator with a focus on solar PV projects.
- Benefits: Competitive salary, hybrid working, mentorship, and a bonus of up to 40%.
- Why this job: Make a real impact in renewable energy while developing your data science skills.
- Qualifications: Degree in Data Science or related field; strong Python and SQL skills required.
- Other info: Dynamic role with opportunities for growth and hands-on experience in analytics.
The predicted salary is between 34000 - 42000 £ per year.
Job Description
Junior Data Scientist – Renewable Energy Asset Performance
Location: London (Hybrid – 3 days in office)
Salary: £40,000 – £50,000 + Bonus Up to 40% + Benefits
Start Date: ASAP (must be available to start in February)
The opportunity
I’m recruiting for a fast-growing renewable energy asset owner/operator with a rapidly expanding portfolio of onsite solar PV projects across the UK. They’re looking for a junior Data Analyst / Data Scientist to help drive portfolio performance, strengthen investor-grade reporting, and build analytics tools that improve decision-making across the business.
This is a high-impact role where you’ll work with real operational and financial data, partner closely with asset management and operations, and see your work directly influence performance outcomes.
What you’ll work on
- Analyse and monitor asset and portfolio performance (generation, availability, efficiency, losses, uptime, incident trends)
- Identify underperformance, anomalies, and emerging risks — quantify impact and support corrective actions
- Build and maintain KPIs, benchmarks, and performance thresholds at asset and portfolio level
- Produce weekly/monthly/quarterly performance reporting for internal stakeholders and investors
- Develop dashboards and internal tools (portfolio health views, incident tracking, loss attribution, performance deep-dives)
- Improve automation and data quality to reduce manual reporting and increase reliability
- Support forecasting and scenario analysis for operations and new projects
- Contribute to practical AI/ML use-cases that streamline workflows and enhance insight generation
What makes this role different
- Production analytics mindset: you’ll build outputs that stakeholders actually use, not “analysis for analysis’ sake”
- Ownership early: you’ll take responsibility for meaningful parts of reporting and performance analytics quickly
- End-to-end exposure: operations + asset management + finance, so you learn the full renewable asset lifecycle
- Strong development runway: mentorship, feedback, and the chance to grow into more advanced modelling and automation
What we’re looking for
- A completed degree in Data Science, Computer Science, Mathematics, Physics, Engineering, or similar
- 1-3 years experience in Data Analytics or Data Science across internships and/or work experience
- Strong Python skills for analysis (pandas/NumPy, clean coding practices)
- Solid understanding of statistics, experimentation/evaluation, and working with messy real-world data
- Confident using SQL to query and combine datasets
- Clear communicator who can turn analysis into actionable recommendations
- Strong attention to detail and pride in high-quality outputs
- Immediately available to start (or available within a very short notice period)
- Full right to work in the UK (no visa sponsorship available)
Benefits
💰 £40,000 – £50,000 + circa 40% bonus
🏢 Hybrid working (Central London – 2/3 days in office)
📈 Mentorship + progression: structured development and regular feedback
🛠 Modern tooling and scope to automate/improve how things are done
✨ Benefits package shared during process
How to apply
Send your most up-to-date CV and a quick note confirming your availability to start ASAP. I’ll arrange an initial call immediately.
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the renewable energy sector, especially those working as Data Scientists. Use LinkedIn to connect and engage with them; you never know who might have a lead on a job or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in real-world scenarios. Practice explaining your thought process clearly, as communication is key in turning analysis into actionable insights.
✨Tip Number 3
Showcase your projects! If you've built dashboards or worked on data analytics projects, make sure to highlight these in your conversations. Bring along examples that demonstrate your ability to improve decision-making and performance outcomes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team and contributing to the exciting work we do in renewable energy.
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Data Scientist role. Highlight relevant experience, especially in data analytics and Python skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about renewable energy and how your skills can contribute to our mission. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any relevant projects, whether during internships or on your own, make sure to mention them. We love seeing practical applications of your skills, especially in data analysis and automation.
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 the role. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at Intellect Group
✨Know Your Data
Make sure you brush up on your data analysis skills, especially in Python and SQL. Be prepared to discuss how you've used these tools in past projects or internships, and think of specific examples where your analysis led to actionable insights.
✨Understand the Renewable Energy Sector
Familiarise yourself with the renewable energy landscape, particularly solar PV projects. Knowing the key performance indicators (KPIs) and challenges in this field will show your genuine interest and help you connect your skills to the company's goals.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities. Think about how you would approach identifying anomalies in data or improving reporting processes. Practising these scenarios can help you articulate your thought process clearly during the interview.
✨Showcase Your Communication Skills
As a Data Scientist, you'll need to translate complex data into understandable insights. Prepare to explain your past analyses in simple terms, highlighting how your findings influenced decision-making. This will demonstrate your ability to communicate effectively with stakeholders.