Senior Data Scientist - MMM
London, England, United Kingdom
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingOwn UK&I MMM end to end, leading the design and ongoing refinement across our brands, products and customer lifecycle, and setting the methodology.
build new pipelines where needed
Own the data pipelines that feed the MMM:- make sure the data is accurate and reliable
From the employer’s posting
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.
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
What you’ll bring
All qualificationsCore experience
- Degree in Economics, Econometrics, Statistics or a related field, or equivalent practical experience.
- Experience in the Gambling industry or similar.
- Strong proficiency in R or Python, with a deep understanding of econometric techniques, time-series analysis and regression, and experience with modern MMM approaches.
- Experience working with media agencies and with marketing and finance teams.
- Strong SQL and experience building and maintaining data pipelines and working with large datasets.
- Experience combining MMM with experiments such as geo or holdout tests, or with attribution.
Qualification wording
Degree in Economics, Econometrics, Statistics or a related field, or equivalent practical experience.
Experience in the Gambling industry or similar.
Strong proficiency in R or Python, with a deep understanding of econometric techniques, time-series analysis and regression, and experience with modern MMM approaches.
Experience working with media agencies and with marketing and finance teams.
Strong SQL and experience building and maintaining data pipelines and working with large datasets.
Experience combining MMM with experiments such as geo or holdout tests, or with attribution.
Tools in this posting
- Python
- R
- SQL
Source — Tool mentions in context
- 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.
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 21, 2026 · 9 days ago
- Recorded sightings
- 96
- Last seen by us
- Oct 30, 2026
- Reposted
- once since Oct 21, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
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Job description
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
Essential:
- 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.
Desired:
- 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.
Equal Opportunities.
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.
#LI-Hybrid
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, England, United Kingdom
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
More source context
We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally. #LI-Hybrid Company Description
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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