Data Scientist

Role Overview

The Data Scientist will transform data into clear, trusted, and actionable insights, working with stakeholders across the business to design, develop, and deploy BI, advanced analytics, ML models, and AI-driven solutions.

What You Will Do

Translate business challenges into BI, analytical, statistical, and Machine Learning solutions, identify patterns, trends, and opportunities within complex datasets, and develop, validate, and deploy predictive models.

Why It Might Be a Fit

The role requires a strong understanding of statistical methods, experimental techniques, and ML principles, as well as experience in Python, SQL, Spark, and modern cloud data platforms.

Requirements

• Degree in Data Science or a related numerate discipline, or equivalent experience
• Evidence of continued professional development in BI, data science, advanced analytics, ML, AI
• Strong understanding of statistical methods, experimental techniques, and ML principles
• Advanced data science and analytical capability
• Strong practical capability in Python and SQL
• Experience in Spark and modern cloud data platforms
• Expertise in statistical analysis, forecasting, predictive modelling, classification, clustering, and optimisation
• Experience helping a growing data function establish technical standards, governance, best practices, and effective ways of working
• Proven success in a Data Scientist or comparable advanced analytics role, delivering measurable operational or commercial value

Benefits

• Competitive salary
• Holiday allowance starting at 26 days per annum plus bank holidays (pro rata for part time roles)
• Flexible and Hybrid working options (role dependant)
• Life insurance – 4 x annual salary
• Enhanced Company Pension scheme
• 24/7 free and confidential Employee Assistance Programme
• GP24 Service – Access to remote, private GP services 24/7, 365 days a year plus Second Medical Opinions
• BRUSHRewards – Discover plenty of ways to get more active and make great savings on everyday essentials as well as gifts for loved ones, holidays and special treats for yourself
• Family friendly policies including Enhanced Maternity/Paternity
• Bike2work scheme
• Long Service Awards