Director, Data Science (Marketing Analytics)

Responsibilities

• Lead and mentor a team of data scientists and analysts, fostering professional development and technical excellence
• Design, build, and validate Marketing Mix Models (MMM) using advanced econometric techniques
• Develop predictive models for campaign performance, customer behaviour, and business outcomes
• Implement cutting-edge statistical approaches including Bayesian modelling, machine learning, and causal inference
• Serve as the primary analytical consultant for senior client stakeholders and internal leadership teams
• Research and implement new analytical approaches, tools, and methodologies in marketing science

Requirements

• Advanced expertise in Marketing Mix Modelling (MMM)
• Strong econometrics background with experience in time series analysis and causal inference
• Proficiency in predictive modelling using machine learning techniques
• Programming expertise in R and/or Python
• Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, SQL)
• Knowledge of experimental design and A/B testing methodologies
• Proven experience managing and developing technical teams

Preferred Qualifications

• Experience working in agency, consulting, or client services environment

About the Company

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale through the WPP Open agentic marketing platform.