Marketing ML Scientist – Pay Growth & Optimization

Apple Inc.; Greater London; On-site; GBP 110,000 - 170,000; Full time

Job summary

Apple Inc. in London seeks a seasoned Data Scientist to reimagine how Apple Pay measures and optimizes marketing. You’ll define the measurement framework, quantify cross‑channel effectiveness, and isolate lift with causal inference methods.

You’ll build production‑grade ML pipelines, apply segmentation and propensity models, and translate insights into concrete campaign recommendations. Collaboration with marketing, product, and engineering teams is essential.

Qualifications

• Hands-on experience in marketing science including marketing mix models, causal inference, and incrementality measurement.
• Experience designing and executing marketing experiments.
• Proficiency applying ML to marketing and customer data.
• Strong Python and data-science libraries (pandas, NumPy, scikit-learn, statsmodels, or equivalent).
• Strong 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

Machine learning

Python

SQL

Causal inference

Education

Advanced degree in Statistics/ML/Econometrics/Marketing Science

Job description

Apple Inc. in London seeks a seasoned Data Scientist to reimagine how Apple Pay measures and optimizes marketing. You’ll define the measurement framework, quantify cross‑channel effectiveness, and isolate lift with causal inference methods.

You’ll build production‑grade ML pipelines, apply segmentation and propensity models, and translate insights into concrete campaign recommendations. Collaboration with marketing, product, and engineering teams is essential.