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- Tasks: Join our IT team as a Data Scientist, solving real-world problems and optimising business strategies.
- Company: CEF is the UK's leading electrical wholesaler, with a global presence and a focus on innovation.
- Benefits: Enjoy remote work, flexible hours, 25 days holiday, and a company pension scheme.
- Why this job: Be part of an inclusive team that values your contributions and supports your growth.
- Qualifications: Experience in Data Science, strong Python skills, and proficiency in visualisation tools required.
- Other info: This role includes travel to our Durham HQ and offers a supportive learning environment.
The predicted salary is between 28800 - 48000 £ per year.
Job Description
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.
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.
Data Scientist employer: CEF - City Electrical Factors - IT
Contact Detail:
CEF - City Electrical Factors - IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, Power BI, and Tableau. Having hands-on experience or projects showcasing your skills with these tools can set you apart during discussions.
✨Tip Number 2
Prepare to discuss real-world applications of data science in business contexts. Think of examples where you've used data-driven decision-making to solve problems or improve processes, as this aligns with the role's focus on driving business impact.
✨Tip Number 3
Practice explaining complex statistical concepts in simple terms. Since you'll need to communicate insights to non-technical stakeholders, being able to convey your findings clearly will demonstrate your ability to collaborate effectively across teams.
✨Tip Number 4
Engage with the company’s values and culture. Research CEF’s approach to collaboration and innovation, and be ready to share how your personal values align with theirs. This will show that you're not just a fit for the role, but also for the team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly any hands-on model development and Python skills. Use keywords from the job description to demonstrate that you meet the requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your skills align with the company's values. Mention specific projects or experiences where you've successfully used data to drive decision-making.
Showcase Technical Skills: In your application, emphasise your proficiency in Python, machine learning, and visualisation tools like Power BI or Tableau. Provide examples of how you've applied these skills in previous roles.
Prepare for Interviews: Anticipate questions related to your technical expertise and problem-solving abilities. Be ready to discuss your approach to collaborating with stakeholders and presenting complex insights to non-technical audiences.
How to prepare for a job interview at CEF - City Electrical Factors - IT
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and machine learning. Bring examples of projects where you've developed models or implemented solutions, as this will demonstrate your hands-on expertise.
✨Communicate Clearly
Since you'll need to present complex insights to non-technical stakeholders, practice explaining your past work in simple terms. This will show your ability to bridge the gap between data science and business needs.
✨Engage with Stakeholders
Highlight your interpersonal skills by discussing how you've collaborated with different teams in the past. Be ready to share specific examples of how you educated others on data-driven decision-making.
✨Demonstrate Your Problem-Solving Approach
Prepare to discuss real-world problems you've solved using data science. Focus on the impact of your solutions and how they delivered tangible commercial value, aligning with the company's goals.