Hybrid Data Scientist — Marketing Science & Analytics

wppmedia; Greater London; Hybrid; GBP 55,000 - 90,000; Full time

Benefits offered by this job

Medical benefits

Retirement plans

Vision & dental insurance

Paid time off

Employee mental health days

Job summary

WPP Media in the UK is hiring a mid-level Data Scientist to apply data-driven insights and advanced analytics to optimise our clients' advertising campaigns and media strategies.

You will leverage Python, SQL, and ML to build models, run experiments (GeoLift), and produce actionable insights for campaign planning and budgeting.

Collaborating with cross-functional teams, you will turn vague business questions into measurable problems and present results as clear commercial recommendations.

Qualifications

• Strong Python and SQL, comfortable working with large, imperfect datasets.
• Supervised machine learning across classification and regression, with the judgement to choose the right approach for the problem rather than defaulting to one method, including where standard linear assumptions do not hold, and quantifying uncertainty where a forecast carries commercial weight such as pricing or guarantees.
• Experience with experimental design, causal inference and quasi-experimental methods, including geographic experimentation (GeoLift) and test-and-control.
• Audience and customer segmentation using unsupervised methods, defined so segments can be activated rather than just described.
• Budget allocation and channel-mix work, including marketing mix modelling and the saturation and diminishing-returns dynamics behind it.

Responsibilities

• Develop and maintain media buying optimization algorithms through AI and ML to drive greater campaign outcomes against an array of KPIs
• Create audience segmentation and addressability models to enhance targeting precision across multiple targeting keys
• Generate actionable campaign insights from complex datasets to improve campaign planning through actionable insights
• Implement yield management strategies to maximise supply utilisation across the addressable TV portfolio
• Build and refine forecasting models for campaign performance for multiple channels
• Design and analyse A/B tests to improve campaign effectiveness measurement
• Assist in developing robust campaign measurement methodologies

Skills

Python

SQL

Machine Learning

Audience segmentation

GeoLift

Campaign optimization

Experiment design

Tools

Streamlit

Dash

Power BI

Tableau

Git

Cloud platforms

Model deployment

Job description

WPP Media in the UK is hiring a mid-level Data Scientist to apply data-driven insights and advanced analytics to optimise our clients' advertising campaigns and media strategies.

You will leverage Python, SQL, and ML to build models, run experiments (GeoLift), and produce actionable insights for campaign planning and budgeting.

Collaborating with cross-functional teams, you will turn vague business questions into measurable problems and present results as clear commercial recommendations.