Data Scientist
wppmedia
midpermanentdata London 39 days ago via Arbeitnow
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Data ScienceMachine LearningPythonRSQLA/B TestingAudience SegmentationForecastingAttribution ModelsMarketing Mix Modeling (MMM)
About the role
Role overview
You will be a key member of the Marketing Science team as a Data Scientist. The role applies advanced analytics and data-driven insights to help optimize clients’ advertising campaigns and media strategies.
Responsibilities
- Develop and maintain media buying optimization algorithms using AI/ML to improve outcomes across KPIs
- Build audience segmentation and addressability models to enhance targeting precision
- Turn complex datasets into actionable campaign insights for planning and decision-making
- Implement yield management strategies to maximize supply utilization across an addressable TV portfolio
- Build and refine forecasting models for campaign performance across multiple channels
- Design and analyze A/B tests to improve effectiveness measurement
- Support the creation of robust campaign measurement methodologies
Requirements
- Proficiency in Python or R for data analysis and modeling
- Strong understanding of statistics and machine learning algorithms
- Experience with SQL and data manipulation
- Familiarity with data visualization tools such as Tableau or Power BI
- Knowledge of digital advertising concepts and metrics
- Strong analytical and problem-solving skills
- Excellent communication skills to present findings
Nice-to-haves
- Experience with marketing analytics and attribution models
- Understanding of programmatic advertising ecosystems
- Working knowledge of econometrics / MMM (Marketing Mix Modeling)
About wppmedia
WPP Media is WPP's AI-driven media operating unit, combining media, data, and partnerships to deliver creative personalization at scale. Through WPP Open and Open Intelligence, it helps clients understand and improve how their media investment performs, connecting strategy to actionable measurement and insights.
Scraped 8/15/2026