Senior Data Scientist – MMM

Overview

In this role you will own and lead Marketing Mix Modelling for Entain’s UK&I brands, shaping how marketing budget is allocated across channels. You’ll build and maintain end-to-end MMM, turning data into actionable recommendations for budget and media planning. You’ll partner with marketing, finance and agencies to embed MMM into planning and decision-making, driving efficiency and ROI. This is a high-impact, cross-functional position that influences investment decisions and MMM practices across the business. You’ll stay ahead of MMM methods to continuously improve how we measure effectiveness and growth.

Pay / Benefits

• Hybrid working – 2 days in the office
• Private medical insurance
• Pension Scheme – matched to 6%
• Free subscription to wellbeing app Unmind
• Entain & Enhance days – 2 paid days for development

Responsibilities

• Own UK&I MMM end-to-end, defining and refining methodology across brands and customer lifecycle
• Manage data pipelines feeding MMM; ensure data quality and build new pipelines as needed
• Validate and stress test model outputs to ensure robust, trusted results
• Translate model outputs into budget allocation, channel mix, and media planning recommendations
• Collaborate with marketing, finance and media agency to embed MMM in planning and influence budgeting
• Work with media agency to link MMM with experimentation, creating a feedback loop between MMM and tests
• Communicate complex findings to senior stakeholders via presentations and documentation
• Act as MMM methodology expert, staying updated on new methods to continually improve the practice

Key requirements

• Hands-on experience building and running MMMs end-to-end in a commercial setting
• Degree in Economics, Econometrics, Statistics or related field, or equivalent practical experience
• Strong proficiency in R or Python with econometric, time-series and regression expertise
• Strong SQL and experience building and maintaining data pipelines with large datasets
• Ability to operate as a subject-matter expert and drive work independently
• Ability to explain econometric concepts clearly to senior stakeholders
• Strong quantitative and analytical skills with high attention to detail

• Stakeholder management
• Clear communication with non-technical audiences
• Analytical mindset with attention to detail
• R or Python for econometrics
• Time-series analysis
• Regression techniques

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