Location
London

Hours
Full Time

Salary
Negotiable

About the Role
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product, service, or Apple Store experience is the result of collaborative innovation and diverse thinking. At Apple, extraordinary ideas quickly become great products, services, and customer experiences. We are seeking an experienced Data Scientist with intellectual curiosity and strategic depth to reimagine how Apple Pay measures and optimizes its marketing.

You will proactively identify key questions, design frameworks to answer them, and propose innovative approaches. You have deep knowledge of the marketing and media landscape, including marketing mix models that quantify cross-channel effectiveness, incrementality testing methods such as geo-based experiments and causal inference, and behavioral signals derived from clustering, propensity modeling, or sequence analysis to inform smarter audience strategies and campaign design.

Your expertise lies in architecting rigorous measurement frameworks before building models—identifying causal assumptions, controlling confounders, and defining experimental conditions that make results actionable. You will leverage AI/ML to enhance rigor, scale, and speed by building production-grade causal inference pipelines, designing ML-powered experiment analyses, and applying large language models (LLMs) to accelerate insight generation and communication.

Key responsibilities include designing and implementing marketing mix models and causal inference pipelines to quantify marketing effectiveness and guide budget allocation, executing incrementality tests and translating results into actionable campaign recommendations, applying ML techniques such as segmentation and behavioral pattern recognition to identify customer response patterns, partnering with cross-functional teams to define analytical problems and success metrics, maintaining production-grade ML models and workflows for ongoing marketing optimization, leveraging Generative AI and LLM tools to automate reporting and streamline analytics, and communicating results clearly to both technical and non-technical audiences through visualizations and narratives.

Experience
- Hands-on experience in marketing science including 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 proficiency in 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
- Experience with paid media data across channels including paid digital, in-store media, social, and other performance marketing platforms
- Experience with awareness and performance marketing measurement
- Active engagement with industry trends in marketing science and media measurement, bringing emerging methodologies and tools into the team
- Experience applying Generative AI to marketing workflows such as budget optimization, automated creative analysis, or campaign performance reporting

About you
You are intellectually curious, strategic, and proactive in identifying key questions and designing innovative solutions. You have strong communication skills, able to tell compelling stories with data to both technical and non-technical audiences. You thrive in a collaborative environment and are passionate about leveraging AI/ML to drive marketing innovation and impact.

Qualifications
Advanced degree (M.S. or Ph.D.) in Statistics, Machine Learning, Econometrics, Marketing Science, or a related quantitative field
Strong written and verbal communication skills