Marketing Data Scientist: Causal ML & Growth Analytics

Apple; Greater London; On-site; GBP 95,000 - 135,000; Full time

Job summary

Apple is seeking an experienced Data Scientist to reimagine how marketing measures and optimizes Apple Pay; design frameworks for causal lift, incrementality, and audience strategies using ML and AI tools. You will architect measurement pipelines and apply advanced econometric techniques to drive marketing effectiveness and budget optimization.

You will collaborate with cross-functional teams and leverage Generative AI to accelerate insights, automate reporting, and deliver actionable

Qualifications

• Hands-on experience in marketing science — including building marketing mix models, causal inference, and incrementality measurement
• Experience designing and executing marketing experiments
• Proficiency in applying ML techniques to marketing and customer datasets
• Strong command of Python and data science libraries (pandas, NumPy, scikit-learn, statsmodels, or equivalent)
• Strong command of SQL for querying and analyzing large-scale marketing and media datasets

Responsibilities

• Design and implement marketing mix models and causal inference pipelines that quantify marketing effectiveness and inform budget allocation decisions
• Build and execute incrementality tests and translate results into concrete campaign recommendations
• Apply ML techniques such as segmentation, propensity modeling, and behavioral pattern recognition to identify customer response patterns and inform audience strategy and experiment design
• Partner with cross-functional teams to scope analytical problems, define success metrics, and deliver data-driven recommendations
• Build and maintain production-grade ML models and workflows that support ongoing marketing measurement and optimization
• Leverage Generative AI and LLM-based tools to accelerate insight generation, automate reporting workflows, and streamline day-to-day analytical tasks
• Communicate model outputs and experiment results clearly to both technical and non-technical audiences through visualizations, narratives, and recommendations

Skills

Marketing science

Marketing experiments

ML techniques

Python

SQL

Education

Advanced degree (M.S. or Ph.D.) in a quantitative field

Tools

Python

SQL

Job description

Apple is seeking an experienced Data Scientist to reimagine how marketing measures and optimizes Apple Pay; design frameworks for causal lift, incrementality, and audience strategies using ML and AI tools. You will architect measurement pipelines and apply advanced econometric techniques to drive marketing effectiveness and budget optimization.

You will collaborate with cross-functional teams and leverage Generative AI to accelerate insights, automate reporting, and deliver actionable