Senior Data Scientist

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 likeMeta’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