Marketing ML Data Scientist - Causal Inference & Growth

Apple, Inc.; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Apple in London, United Kingdom is seeking a Machine Learning Data Scientist to reimagine how Apple Pay Marketing measures and optimizes its performance. You will architect causal inference frameworks, implement marketing mix models, and apply ML to drive audience strategy and campaign design.

The role focuses on scaling production-grade models, running incrementality tests, and communicating insights to cross-functional teams with clear narratives and visuals.

Qualifications

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

Responsibilities

• Design and implement marketing mix models and causal inference pipelines to quantify marketing effectiveness and inform budget allocation decisions.
• Build and execute incrementality tests and translate results into concrete campaign recommendations.
• Apply ML techniques to identify customer response patterns and inform audience strategy and experiment design.
• Partner with cross-functional teams to scope analytical problems and deliver data-driven recommendations.
• Build production-grade ML models and workflows to support ongoing marketing measurement and optimization.
• Leverage Generative AI and LLM-based tools to accelerate insight generation and automate reporting workflows.
• Communicate model outputs and results clearly to technical and non-technical audiences through visuals and narratives.

Skills

Marketing science

Causal inference

Incrementality testing

Python

SQL

Marketing mix models

Experiment design

Data storytelling

Education

Advanced degree (M.S./Ph.D.) in Statistics, ML, Econometrics, Marketing Science

Tools

pandas

NumPy

scikit-learn

statsmodels

Job description

Apple in London, United Kingdom is seeking a Machine Learning Data Scientist to reimagine how Apple Pay Marketing measures and optimizes its performance. You will architect causal inference frameworks, implement marketing mix models, and apply ML to drive audience strategy and campaign design.

The role focuses on scaling production-grade models, running incrementality tests, and communicating insights to cross-functional teams with clear narratives and visuals.