Senior Data Scientist

ZipRecruiter; Leicester; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading company in the retail sector is seeking a Senior Data Scientist for a 3-month contract in Leicester. This hybrid role focuses on enhancing marketing effectiveness through causal inference, MMM, and experimentation, driving key analytics initiatives forward. The candidate should possess robust experience in data science with a solid foundation in marketing analytics, as well as proficiency in relevant tools like Databricks and SQL.

Qualifications

• 4–5 years of commercial experience in data science, preferably in eCommerce.
• Experience with Marketing Mix Modelling (MMM) and A/B testing frameworks.
• Strong communication skills and ability to explain data-driven insights.

Responsibilities

• Finalise the MMM framework and modelling.
• Build out the A/B testing framework.
• Automate marketing analytics processes.

Skills

Causal inference

Marketing analytics

Experimentation

Communication

Tools

SQL

Python

PySpark

Databricks

R

Job description

Job Description

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