
// Open Role at Entain
Entain is seeking a Senior Data Scientist to lead Marketing Mix Modelling (MMM) for their UK&I brands. You'll drive marketing effectiveness, optimize budget allocation, and influence investment decisions through robust data analysis and insights in a high-impact hybrid role.
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.
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
Essential:
Desired:
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.
#LI-Hybrid
Own UK&I MMM end to end, leading design and refinement. Own the data pipelines that feed the MMM, ensuring accuracy and resolving quality issues. Validate and stress test model outputs to ensure robustness. Translate model outputs into clear recommendations on budget allocation, channel mix, and media planning. Partner with marketing, finance, and media agencies to embed MMM into planning and influence decisions. Work with media agencies on testing and experimentation, building feedback loops. Communicate complex findings clearly to senior stakeholders. Act as the MMM methodology expert, staying updated with new methods. Proven, hands-on experience building and running MMMs end to end in a commercial setting. 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. Strong SQL and experience building and maintaining data pipelines with large datasets. Ability to operate as a subject-matter expert, setting direction and driving work independently. Ability to explain complex econometric concepts clearly to senior stakeholders. Strong quantitative and analytical skills, with a high level of attention to detail.