Senior Data Scientist MMM

How we measure and optimise our marketing effectiveness is key to how we grow. Were a UK&I-focused marketing analytics team working directly with the marketing teams to understand whats 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. Youll be our MMM expert responsible for the data pipelines the modelling and the insights and recommendations that come out of it. Its 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 theyre 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 youll 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 well support you.

Were committed to creating a diverse equitable and inclusive workplace where everyone feels valued respected and able to be themselves.

Were 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

Remote Work :

No

Employment Type :

Full-time