Data Scientist

About the Role:

We're looking for a Data Scientist to join our growing global IT team and help drive meaningful transformation across our business. You'll play a hands-on role in shaping commercial strategies, optimising operational efficiency, and influencing data-driven decision-making across the company.

This is an opportunity to solve real-world problems, shape new tools, and work on initiatives that impact how we operate, sell, and serve - all within a team that values care, curiosity, collaboration, openness, and delivering value.

What You'll Do:

• Collaborate with Stakeholders: Engage with business stakeholders to educate and demonstrate the impact of data-driven decision-making
• Develop and Implement Solutions: Build and deploy machine learning solutions to address key business challenges and improve operational efficiency.
• Communicate Complex Insights: Present statistical concepts and findings in an accessible way to non-technical audiences, driving data-informed decision-making.
• Drive Business Impact: Leverage data science to recommend and implement innovative solutions that deliver tangible commercial value.
• Contribute High-Quality Code: Write robust Python code and contribute to packages that benefit the broader data science and analytical community.

What You'll Bring: Must haves:

• Proven experience in a Data Science role with hands-on model development.
• Strong Python skills, with a focus on algorithms and data structures.
• Experience with modern software development practices (e.g. version control, reproducibility).
• Proficiency with visualisation tools like Power BI or Tableau.
• Excellent interpersonal skills and ability to work cross-functionally.

Nice to haves:

• Degree in a quantitative field (e.g. Data Science, Applied Mathematics, Statistics).
• Experience with machine learning in academic or commercial settings.
• Strong grasp of probability, statistical significance, and regression analysis.
• SQL proficiency and experience with cloud-based data platforms.

Location:

• This role is a remote-first role with travel to Janet Nash House in Durham and other CEF locations to meet business need.

Why Join Us? CEF (City Electrical Factors) was founded in 1951 in the UK and has grown to become the UK's leading electrical wholesaler, with over 390 branches nationwide. In 1983, our North American arm, City Electric Supply (CES), was born - and together today we support customers across the UK, Ireland, Spain, Holland, Australia, the USA and Canada. Our global IT team is at the heart of our future - leading the charge as we modernise core systems, adopt cloud-first and serverless technologies, and explore how automation and AI can create better experiences for our teams and customers. Our values are at the core of what we do, approaching our work with care, openness, curiosity, collaboration, and a genuine drive to deliver value. We don't pursue change for the sake of it. Every decision we make is purposeful - designed to make our business more effective, our tools more useful, and our people more empowered. At City, you won't be just a cog in the machine. You'll be part of a down-to-earth, inclusive team that encourages ownership, celebrates experimentation, and backs each other to succeed. Whether you're solving real-world challenges or shaping what comes next, your work here will matter. If you're looking for a place where your contributions are seen, your ideas are welcomed, and your growth is supported - we'd love to meet you. You can find out more about CEF here, more about IT here, and you can find your local branch here. What's In It For You?

• Remote-first working environment
• Annual IT bonus scheme
• Flexible hours built around core team collaboration
• 25 days holiday plus UK bank holidays
• Company Pension Scheme (3% employee / 3% employer)
• Access to MySavings - employee discount platform
• Champion Health - wellbeing support across mental, physical and financial health
• Free use of the private gym at Janet Nash House (Durham HQ)
• Learning and development support

Our Hiring Process:

• Introductory call with our Talent Team
• Microsoft Teams interview with Global Head of BI & Analytics.
• Microsoft Teams interview with Data Engineering Manager and Global Head of BI & Analytics

We aim to move quickly and give you a clear picture of what working with us is like. How to Apply

• Click the apply button or contact Becca Lowes if you have questions - even if you're unsure if it's the perfect fit. We'd love to hear from you.