Senior Data Scientist - MMM
- London, United Kingdom
- Senior Level
- Posted
Skills
Required
- data pipelines
- Python
- econometric techniques
- time-series analysis
- regression
- SQL
- setting direction
Preferred
- econometrics
- Gambling industry
- geo / holdout tests
- cloud data platforms
- data visualisation tools
- machine learning applications
- Modelling MMM
- Manage data pipelines
Join Entain, a leading company in sports betting, gaming, and interactive entertainment. As a Senior Data Scientist, you will own and lead Marketing Mix Modelling (MMM) for our UK&I brands, shaping how MMM is built and used across the business. You will be responsible for data pipelines, modeling, and insights, with a focus on improving marketing efficiency and ROI.
Responsibilities
- Own and lead the Marketing Mix Modelling (MMM) for UK&I brands, including design, refinement, and methodology.
- Manage data pipelines that feed the MMM, ensuring data accuracy, reliability, and resolving quality issues.
- Turn model outputs into clear recommendations on budget allocation, channel mix, and media planning, and communicate findings to senior stakeholders.
Requirements
- 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.
Preferred
- 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.
Benefits
- 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
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:
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.
