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.

Job Details

Company
Intellect Group
Location
London Area, United Kingdom
Hybrid / Remote Options
Posted