At City Electrical Factors, we encourage our people to be curious, innovative, and eager to learn.

If you’re passionate about your work and believe you can make a meaningful contribution, we welcome your application even if you don’t meet every requirement. Your unique background and perspective might be exactly what drives our next step forward.

Let’s build something great together.

About CEF:
CEF is a global electrical wholesaler known for its wide product range and strong customer service. Founded in the UK in 1951, the company has grown to more than 1,000 locations across the United States, Canada, Australia, Europe, and beyond.

Our IT teams deliver value to both the business and our customers by creating innovative solutions that enhance how we operate today and prepare us for the future. We recognise the essential role that technology and data play in driving this progress.

Our Global IT department leads major transformation initiatives, broadens our digital capabilities, and modernises our systems to keep us competitive in the market.

To achieve this, we need talented and creative individuals from all areas to help drive our evolution over the coming years—and that’s where you come in.

Life as a Data Scientist at City Electrical Factors:
As a Data Scientist in City IT, you will be central to supporting data-driven decisions, influencing commercial strategies, and improving operational performance.

You’ll collaborate across teams, guide stakeholders, and use advanced machine learning techniques to solve real business problems. You’ll analyse large datasets, develop sophisticated models, and turn complex results into clear and actionable insights.

This is a rare chance to join a growing initiative where your work will make a direct and visible impact on the company’s success.

Your Objectives:
• Work with business stakeholders to demonstrate the value of data-led decision-making.
• Develop and deploy machine learning models that address key challenges and enhance operational performance.
• Communicate technical insights in a clear and accessible manner for non-technical audiences.
• Use data science to propose and implement innovative solutions that generate measurable commercial benefits.
• Write high-quality Python code and contribute to shared tools used across the data science and analytics teams.

Key Skills and Experience:
• Demonstrated experience in a data science role, including model development and business optimisation.
• Strong ability to design and implement algorithms and data structures in Python for data science applications.
• Solid understanding of modern software engineering practices, such as data management, version control, reproducibility, and model interpretability.
• Experience using visualisation tools like Power BI or Tableau and presenting insights through compelling data storytelling.
• Excellent communication and teamwork skills, with the ability to collaborate effectively across technical and non-technical groups.

Beneficial Skills and Experience:
• A bachelor’s or master’s degree in a quantitative field such as Applied Mathematics, Data Science, Physics, Econometrics, or Statistics.
• Proven ability to solve problems using machine learning, either academically or commercially.
• Strong understanding of probability, statistical significance, hypothesis testing, and regression methods.
• Experience with cloud-based data solutions.
• Knowledge of common algorithms and machine learning frameworks.
• Proficiency in SQL, including building end-to-end data pipelines and integrating data from various sources.

Location:
• This role is primarily remote, but you must be able to travel to Durham and other UK sites when necessary.

Interview Process:
• Initial call with Talent Acquisition
• Microsoft Teams interview with the Global Head of BI & Analytics and a Customer Insight Analyst
• Microsoft Teams interview with the Data Engineering Manager and a Customer Insight Analyst

Package:
• Competitive base salary
• Annual IT bonus scheme
• MySavings employee discount platform
• Pension scheme: 3% employee / 3% employer
• Access to Champion Health, offering physical, mental, and financial wellbeing resources
• Free use of a state-of-the-art private gym at our award-winning IT headquarters