At a Glance
- Tasks: Lead Marketing Mix Modelling to optimise marketing budgets and improve ROI.
- Company: Join Entain, a leader in sports betting and interactive entertainment.
- Benefits: Competitive salary, hybrid working, private medical insurance, and personal development days.
- Other info: Be part of an inclusive team that celebrates individuality and supports your growth.
- Why this job: Make a real impact in a high-stakes analytical role with cutting-edge techniques.
- Qualifications: Experience in building MMMs, strong skills in R or Python, and data pipeline expertise.
The predicted salary is between 56700 - 69300 £ per year.
Company Description Sports betting, gaming and interactive entertainment is changing, and we're leading that change.
Because when you join Entain, it's your game.
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.
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.
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 reliableresolve data quality issuesbuild 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.
Work with our media agency on testing and experimentation, building a feedback loop between MMM and experiments so each one informs the other.
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.
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.
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.
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.
- Analyst Experience level: Associate
- Industry: Gambling And Casinos
Senior Data Scientist - Marketing in London employer: Entain
Entain is an exceptional employer, offering a dynamic and inclusive work environment where creativity thrives. As a Senior Motion Designer, you'll have the opportunity to work on high-profile campaigns for iconic brands while enjoying benefits like hybrid working, private medical insurance, and dedicated professional development days. Join us in shaping the future of sports betting and gaming through innovative storytelling and impactful content creation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Marketing in London
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We think you need these skills to ace Senior Data Scientist - Marketing in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Entain. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Entain
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
