Data Scientist

Summary

Join City Electrical Factors' Global IT team as a Data Scientist and be at the forefront of data-driven decision-making, shaping commercial strategies and optimizing operational efficiency. You will collaborate with stakeholders, build and deploy machine learning solutions, and communicate complex insights to non-technical audiences. This role offers the opportunity to contribute to a growing initiative with direct impact on the company's success. The position is predominantly home-based but requires occasional travel within the UK. A competitive salary, bonus scheme, employee discounts, pension plan, wellbeing platform, and access to a private gym are included in the compensation package.

Requirements

• Proven track record in a data science role with experience in model development and business optimisation
• Proficiency in designing and implementing algorithms and data structures in Python for data science applications
• Strong understanding of modern software development practices, including data access, management, version control tools, reproducibility, and interpretability
• Proficiency with visualization tools like Power BI or Tableau, and the ability to convey insights through compelling data narratives
• Excellent interpersonal skills with the ability to collaborate effectively with technical and non-technical teams

Responsibilities

• 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

Preferred Qualifications

• Bachelor’s or Master’s degree in Applied Mathematics, Data Science, Physics, Econometrics, Statistics, or a related quantitative field
• Demonstrated expertise in solving problems using machine learning, either academically (with relevant publications) or commercially
• Deep understanding of probability distributions, statistical significance, hypothesis testing, and regression
• Experience working with cloud-based data solutions
• Knowledge of Algorithms and Frameworks
• SQL Proficiency: Skilled in building end-to-end data pipelines and combining data from multiple sources

Benefits

• Competitive basic salary
• Annual IT Bonus scheme
• MySavings - Employee Discount Platform
• Pension: 3% ee’e / 3% e’er (Total 6%)
• Champion Health – a comprehensive physical, mental & financial wellbeing platform, offering bespoke content on all aspects of wellbeing & life including recipes, workouts, blogs and loads of other content for you
• Free use of the state-of-the-art private gym at our award winning IT Headquarters