Senior Marketing Data Scientist - MMM & Growth Analytics

Zepz; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Unlimited annual leave

Healthcare benefits

Employee discounts

Job summary

Zepz is seeking a Senior Marketing Data Scientist/Analyst to elevate our marketing performance through data-driven insights and advanced analytics. You will support MMM, attribution, and causal inference to optimize media investments and measure ROI.

You will develop analytics, automate modelling pipelines, and build self-serve dashboards, collaborating with cross-functional teams to drive business impact. London-based hybrid role with global reach.

Qualifications

• Bachelor's or Master's in a quantitative field.
• 5–10 years of experience in marketing analytics or performance marketing measurement.
• Expertise in Marketing Mix Modeling and attribution techniques.
• Proficiency in SQL and data-visualisation tools.
• Proficiency in Python and open-source MMM frameworks.
• Strong communication with stakeholders.

Responsibilities

• Develop analytics to evaluate marketing effectiveness and ROI (MMM, attribution, CLV, experimentation).
• Apply causal inference techniques to isolate marketing impact.
• Automate model training and deployment with monitoring for drift.
• Create pipeline to produce insight-ready datasets from raw data.
• Build and maintain self-serve analytics dashboards.
• Support marketing campaigns with analysis and data requirements.
• Explain complex findings to executives in clear, actionable terms.

Skills

SQL

Python

Data visualization

Marketing mix modeling

Attribution techniques

Stakeholder comms

Education

Master's degree in Data Science/Statistics/Economics

Tools

Robyn

Meridian

LightweightMMM

Job description

Zepz is seeking a Senior Marketing Data Scientist/Analyst to elevate our marketing performance through data-driven insights and advanced analytics. You will support MMM, attribution, and causal inference to optimize media investments and measure ROI.

You will develop analytics, automate modelling pipelines, and build self-serve dashboards, collaborating with cross-functional teams to drive business impact. London-based hybrid role with global reach.