Senior Data Scientist

JR United Kingdom; Loughborough; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading company in the retail industry is searching for a marketing analytics specialist focused on finalizing their Marketing Mix Modelling and A/B testing frameworks. The ideal candidate will have a minimum of 4-5 years in data science, strong experience with causal inference, and the ability to communicate insights effectively. The position allows for hybrid working after one month, offering flexibility to enhance work-life balance.

Qualifications

• 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 to explain data-driven insights.

Responsibilities

• Finalising the MMM framework and modelling (70% complete).
• Building out the A/B testing framework and driving it into production.
• Automating marketing analytics processes.

Skills

Causal Inference

Marketing Analytics

Data Science

Experimental Design

Tools

Databricks

SQL

Python

PySpark

R

Dashboarding tools

Job description

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• HYBRID WORKING (Office in Leicester - Flexible after one month)

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
• 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