Senior Data Scientist

Senior Data Scientist

Primark is seeking a Senior Data Scientist to join its Data Science & Measurement team in Reading, delivering advanced analytics, machine learning and experimentation solutions that drive measurable business value.

What you'll do

• Lead the design, development and deployment of machine learning, optimisation and measurement solutions.
• Build and maintain scalable data science products, including predictive models, forecasting solutions, segmentation, recommendation engines and experimentation frameworks.
• Develop analytical datasets and machine learning pipelines using Databricks, Python, SQL and Spark.
• Partner with business stakeholders to define hypotheses, success measures and value metrics.
• Lead experimentation, testing and measurement initiatives using statistical methods and causal inference techniques.
• Mentor Data Scientists and Analysts and share best practices.
• Contribute to the data science roadmap and develop retail-focused solutions across pricing, forecasting, customer behaviour and operational efficiency.

What you'll bring

• 5–8 years of hands-on experience delivering machine learning, statistical modelling, optimisation and advanced analytics solutions in commercial environments.
• Advanced Python and SQL skills, with experience using Databricks, Spark or similar large-scale data processing technologies.
• Deep understanding of supervised and unsupervised machine learning, feature engineering, model evaluation, experimentation and performance monitoring.
• Experience applying data science in retail, consumer, grocery, apparel or other high-volume environments.
• Experience designing, executing and interpreting experiments and measurement frameworks.
• Ability to translate business challenges into analytical solutions and communicate complex findings clearly.
• Experience mentoring colleagues and driving best practices.

About Primark

Primark has grown from its first store in Dublin in 1969 to a £9bn+ turnover business with over 80,000 colleagues and more than 440 stores in 17 countries. Its values are Caring, Dynamic and Together.

Reasonable adjustments and accessibility support are available during the recruitment journey. Offers of employment are subject to background checks, including right to work, reference and education checks and, for some roles, criminal and financial checks.