SENIOR DATA SCIENTIST • 3-MONTH CONTRACT • HYBRID WORKING (Office in Leicester - Flexible after one month) • £480 OUTSIDE IR35 About the role This role focuses on marketing effectiveness and data science in the retail industry, with a strong emphasis on email campaign measurement, incremental value, and experimentation. The main responsibilities include finalising the Marketing Mix Modelling (MMM) framework, completing the A/B testing framework, and automating marketing analytics processes. The ideal candidate will have experience in causal inference, MMM, and experimentation. We’re looking for a candidate with strong experience in marketing analytics to support three key initiatives: • Marketing Mix Modelling (MMM): This is the top priority. The foundational framework is around 70% complete, and we’re now looking to finalize the modelling. Familiarity with tools like Meta’s Robyn and Google’s Meridian is highly desirable. • A/B Testing Framework: The framework is approximately 80% built and ready to be taken into production. We need someone who can drive this across the finish line, with a focus on robust experimental design and accurate causal impact analysis. • Automation of Analytics Pipelines: There is a clear opportunity to streamline and automate our marketing analytics workflows—particularly in the areas of experimentation and incrementality measurement. Key Responsibilities: • Finalising the MMM framework and modelling (70% complete) • Building out the A/B testing framework • Automating marketing analytics processes, particularly around experimentation • Handling complex data and working with incomplete data • Measuring campaign impact and refining marketing strategies Tech Stack: • Core: Databricks, SQL, Python, PySpark • Experience of • Nice to Have: R, dashboarding tools Ideal Candidate: • 4–5 years of commercial experience in data science, preferably in an eCommerce or marketing analytics environment • Proven experience in causal inference, MMM, and experimentation • Strong communication skills and the ability to explain data-driven insights