Senior Data Scientist - MMM

This is a high impact analytical role reporting to the Head of UK Marketing Analytics, owning and leading Marketing Mix Modelling (MMM) for UK&I brands. The role sits within a UK&I-focused marketing analytics team that works directly with marketing teams to understand what is working and where to invest next. Its purpose is to use MMM to measure performance and allocate marketing budget across acquisition teams and channels, improving efficiency and ROI.

• Use MMM to measure marketing performance and allocate budget across acquisition teams and channels to improve efficiency and ROI.
• Own UK&I MMM end to end, leading design and ongoing refinement across brands, products and the customer lifecycle, and setting the methodology.
• Own the data pipelines that feed the MMM, ensuring data accuracy and reliability, resolving data quality issues, and building new pipelines where needed.
• Validate and stress test model outputs so results are robust and trusted before they are used to make decisions.
• Turn model outputs into clear recommendations on budget allocation, channel mix and media planning, including budget optimisation scenarios.
• Partner closely with marketing, finance and the media agency to embed MMM into planning and influence big decisions such as budget setting.
• Work with the media agency on testing and experimentation, building a feedback loop between MMM and experiments so each informs the other.
• Communicate complex findings clearly to senior stakeholders, including non-technical audiences, through presentations, reports and documentation.
• Act as subject-matter expert on MMM methodology, validation and best practice, keeping up with new methods and using them to improve what the team does.

• Proven, hands-on experience building and running MMMs end to end in a commercial setting, with a track record of owning a model and making it something the business relies on.
• Degree in Economics, Econometrics, Statistics or a related field, or equivalent practical experience.
• Strong proficiency in R or Python, with a deep understanding of econometric techniques, time-series analysis and regression, and experience with modern MMM approaches.
• Strong SQL and experience building and maintaining data pipelines and working with large datasets.
• Able to operate as a subject-matter expert, setting direction and driving work forward independently.
• Able to explain complex econometric concepts clearly to senior stakeholders.
• Strong quantitative and analytical skills, with a high level of attention to detail.

• Experience in the Gambling industry or similar.
• Experience working with media agencies and with marketing and finance teams.
• Experience combining MMM with experiments such as geo or holdout tests, or with attribution.
• Experience with cloud data platforms and data visualisation tools.
• Familiarity with machine learning applications in econometrics.

• Hybrid working — 2 days per week in the office

• Private medical insurance
• Pension Scheme — matched to 6%
• Free subscription to wellbeing app Unmind
• Entain & Enhance days — 2 paid days off to focus on professional or personal development
• Chance to turn recognition from leaders and colleagues into amazing prizes
• Join a winning team of talented people
• Be part of an inclusive and supporting community where everyone is celebrated for being themselves

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