Senior Data Scientist - MMM

Entain Group

Greater London

Hybrid

GBP 80,000 - 120,000

Full time

8 hours ago
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Benefits offered by this job

Hybrid working (2 days in office)
Private medical insurance
Pension scheme - matched to 6%
Wellbeing app Unmind
Enhanced days for development

Job summary

Entain Group is seeking a lead Marketing Mix Modelling (MMM) expert in London to own and optimise MMM across UK&I brands. You will design data pipelines, run advanced econometric models and deliver actionable budget allocations and media planning recommendations.

You will collaborate with marketing, finance and external media agencies, drive experimentation, and present insights to senior stakeholders. Hybrid working in London is offered with strong compensation and benefits.

Qualifications

  • Proven 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 techniques, time-series analysis and regression.
  • Strong SQL and data pipelines experience with large datasets.
  • Able to explain econometric concepts to senior stakeholders.
  • Experience in Gambling industry or similar.
  • Experience with media agencies, marketing and finance teams.
  • Experience combining MMM with experiments (geo/holdout) or attribution.
  • Experience with cloud data platforms and data visualization tools.
  • Familiarity with machine learning in econometrics.

Responsibilities

  • Own UK&I MMM end to end, design and refine methodology across brands and customer lifecycle.
  • Manage data pipelines feeding the MMM, ensuring accuracy and reliability.
  • Validate model outputs and stress test results before decisions.
  • Translate model outputs into budget allocation and media planning recommendations.
  • Collaborate with marketing, finance and media agency to embed MMM into planning and budgeting.
  • Coordinate testing with media agency and experiments to inform MMM and experiments.
  • Present findings to senior stakeholders in clear, non-technical terms.
  • Act as MMM methodology expert, keeping up with new methods.

Skills

MMM end-to-end
R or Python
SQL
Data pipelines
Econometrics concepts
Stakeholder communication
Gambling industry experience
MMM experiments
Cloud platforms
ML in econometrics

Education

Economics/Econometrics/Statistics degree
Equivalent practical experience

Tools

R
Python
SQL
Cloud data platforms
Data Visualization tools
BI tools

Job description

  • Advertising Department: Data & Analytics
Company Description

Sports betting, gaming and interactive entertainment is changing, and we're leading that change. By putting people first. By placing exciting, engaging and entertaining experiences at more fingertips than ever before. We're pulling into pole position by pushing boundaries further. With innovation. With technology. But most importantly, with people like you. Because when you join Entain, it's your game. So let's win together.

Job Description

How we measure and optimise our marketing effectiveness is key to how we grow. We're a UK&I-focused marketing analytics team, working directly with the marketing teams to understand what's working and where to invest next, and MMM sits at the heart of that.

This is a high impact analytical role that will report to the Head of UK Marketing Analytics, owning and leading Marketing Mix Modelling (MMM) for our UK&I brands. You'll be our MMM expert, responsible for the data pipelines, the modelling, and the insights and recommendations that come out of it. It's a chance to shape how MMM is built and used across our UK&I business, with real influence over how we invest in marketing.

The purpose of the role is to use MMM to measure performance and allocate marketing budget across our acquisition teams and channels, improving efficiency and ROI. More broadly, the role will challenge our marketing teams to think and work differently to get better results.

Key Responsibilities
  • Own UK&I MMM end to end, leading the design and ongoing refinement across our brands, products and customer lifecycle, and setting the methodology.
  • Own the data pipelines that feed the MMM:
    • make sure the data is accurate and reliable
    • resolve data quality issues
    • build new pipelines where needed
  • Validate and stress test model outputs so results are robust and trusted before they're 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 our media agency to embed MMM into planning and influence big decisions such as budget setting.
  • Work with our media agency on testing and experimentation, building a feedback loop between MMM and experiments so each one informs the other.
  • Communicate complex findings clearly to senior stakeholders, including non-technical audiences, through presentations, reports and documentation.
  • Act as our expert on MMM methodology, validation and best practice, keeping up with new methods and using them to keep improving what we do.
Qualifications
  • 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 our 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.
Additional Information

At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Working for us in London, you can expect to receive great benefits like:

  • 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 your professional or personal development

And outside of this, you'll have the chance to turn recognition from leaders and colleagues into amazing prizes, join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves.

Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

If you need any reasonable adjustments at any stage of the recruitment process, please contact us and we'll support you.

We're committed to creating a diverse, equitable and inclusive workplace where everyone feels valued, respected and able to be themselves.

We're an equal opportunities employer. We welcome applications from everyone and we do not discriminate based on race, colour, nationality, ethnic or national origin, religion or belief, sex, gender identity or expression, sexual orientation, age, disability, marital or civil partnership status, pregnancy or maternity, or any other status protected by law.

We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.

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