Data Scientist / Senior Analyst

DATA SCIENTIST / SENIOR ANALYST

UP TO £80,000 HYBRID - 3X A WEEK IN LONDON

ABOUT THE BUSINESS

This is for a fast-growing company in the greentech sector, providing electric vehicle charging solutions that support the UK's transition to sustainable transport. With a strong footprint across London and an exciting new contract expanding into other areas of the UK, this business is scaling rapidly to meet rising demand for accessible, reliable EV infrastructure. Backed by private equity, they combine the agility of a scale-up with the stability and resources to grow nationwide.

THE TEAM

You'll be joining a small but growing Data team, reporting directly to the Head of Data. The foundations for data infrastructure have been carefully built over the past year, and now the focus is on turning data into actionable insight.

This is a collaborative environment where data is central to decision-making - the executive team are highly engaged and see analytics as critical to the company's success. You'll have the opportunity to take ownership of impactful projects and help shape the future of EV charging strategy across the UK.

THE ROLE

This is a hands-on analytical role focused on understanding customer behaviour, usage patterns, and network performance to drive smarter, data-led decisions. It's ideal for someone who enjoys end-to-end analysis and translating complex data into clear business recommendations.

Key projects include:

• Analysing where to launch new charging points and assessing site performance
• Understanding user behaviour and segmentation - who's charging, when, and how often
• Developing models to optimise pricing based on time of day and usage patterns
• Building dashboards and reports to monitor operational and commercial KPIs
• Supporting strategic planning as the business expands across the UK

SKILLS & EXPERIENCE REQUIRED

• Strong SQL and Python skills
• Experience with data visualisation tools (Power BI preferred, but flexible)
• Proven background in analytics or data science, ideally in a commercial or operational context
• Exposure to predictive modelling, segmentation, or pricing analytics
• Ability to work independently and communicate insights clearly to non-technical stakeholders

WHY APPLY?

• Play a central role in shaping analytics for one of the UK's most exciting greentech scale-ups
• Hybrid working with modern offices near Monument, London
• High-impact projects directly influencing nationwide EV charging strategy
• Work with a data-driven leadership team that values innovation and insight