ML Data Scientist: Marketing Metrics & Growth

Lex; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Apple is seeking an experienced Data Scientist to reimagine how marketing measures and optimizes Apple Pay performance. You will design marketing mix models, causal inference pipelines, and ML-driven analyses to inform budget allocation and audience strategy.

The role emphasizes scientific rigor, production-grade pipelines, and clear communication of insights to diverse stakeholders. You will collaborate with cross-functional teams, apply Generative AI to streamline reporting, and shape

Qualifications

• Hands-on experience in marketing science, including MMM, causal inference, and incrementality.
• Experience designing and executing marketing experiments.
• Proficiency in applying ML techniques to marketing and customer datasets.
• Strong proficiency in Python and data science libraries.
• Strong command of SQL for querying large marketing datasets.

Responsibilities

• Design and implement marketing mix models and causal inference pipelines.
• Build and execute incrementality tests and translate results into campaigns.
• Apply ML techniques to identify customer response patterns and inform audience strategy.
• Collaborate with cross-functional teams to scope problems and define success metrics.
• Maintain production-grade ML models and workflows for ongoing measurement.
• Leverage Generative AI to accelerate insights and automate reporting.
• Communicate outputs clearly to technical and non-technical audiences.

Skills

Marketing science

Marketing experiments

ML techniques

Python

SQL

Education

MS/PhD in Statistics/ML/Econometrics/Marketing Science

Tools

Pandas

NumPy

scikit-learn

statsmodels

Job description

Apple is seeking an experienced Data Scientist to reimagine how marketing measures and optimizes Apple Pay performance. You will design marketing mix models, causal inference pipelines, and ML-driven analyses to inform budget allocation and audience strategy.

The role emphasizes scientific rigor, production-grade pipelines, and clear communication of insights to diverse stakeholders. You will collaborate with cross-functional teams, apply Generative AI to streamline reporting, and shape