Senior Data Scientist - Primark

Technology at Primark

Our technology team is actively shaping the next wave of advancements. Engaged with innovative initiatives, your expertise will propel our business into the future. Collaborating with a creative team of tech enthusiasts, you’ll contribute your unique skills to fuel our technological advancements.

We are seeking a Senior Data Scientist to join Primark’s Data Science & Measurement team, delivering advanced analytics, machine learning and experimentation solutions that drive measurable business value. Working with stakeholders across key business functions, you will solve complex commercial challenges using data science and statistical techniques. This is a hands-on role for an experienced data scientist with strong technical expertise, commercial awareness and a passion for turning data into actionable business outcomes.

What you'll do

Advanced Analytics & Machine Learning Delivery: Lead the design, development and deployment of machine learning, optimisation and measurement solutions that solve complex business challenges and deliver measurable commercial value.

Data Science Product Development: Build and maintain scalable data science products, including predictive models, forecasting solutions, segmentation, recommendation engines and experimentation frameworks that support business decision-making.

Data Engineering & Model Productionisation: Develop robust analytical datasets and machine learning pipelines using Databricks, Python, SQL and Spark, ensuring solutions are scalable, reliable and production-ready.

Stakeholder Partnership & Commercial Impact: Partner with business stakeholders to define hypotheses, success measures and value metrics, translating analytical insights into actionable recommendations that improve commercial outcomes.

Experimentation & Measurement Leadership: Lead experimentation, testing and measurement initiatives, using statistical methods and causal inference techniques to evaluate business performance and impact.

Technical Leadership & Team Development: Mentor Data Scientists and Analysts, sharing best practices across modelling, experimentation, coding standards and commercial problem solving.

Data Science Strategy & Innovation: Contribute to the data science roadmap, champion best practices and develop innovative retail-focused solutions across areas such as pricing, forecasting, customer behaviour and operational efficiency.

What you'll bring

Advanced Data Science Experience (5-8 Years): Strong hands-on experience delivering machine learning, statistical modelling, optimisation and advanced analytics solutions within commercial environments.

Python, SQL & Data Platform Expertise: Advanced Python and SQL skills, with experience building reproducible machine learning workflows using Databricks, Spark or similar large-scale data processing technologies.