Junior Data Scientist
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.