Data Scientist

About the role

VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave™ Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML's specialist health network, VML Health, is one of the world's largest and most awarded health agencies. VML's global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney. About WPP WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company - powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com . VML Luxembourg VML Luxembourg is one of the leading Amazon consulting agencies in Europe. Offering 360° services for Amazon, we have a diverse range of products and services in various sectors to ensure long-term sales growth, ranging from creating multilingual content and listings to all aspects of advertising, including sales promotion, PPC and programmatic campaigns. We are part of WPP, the world's largest digital media agency, and manage WPP's European Center of Excellence for Amazon (ACE) dedicated to maximising performance, driving sales and building brands on the Amazon platform. We're looking for a Senior Data Scientist (Individual Contributor) to join our Data Services team in Luxembourg. You will lead research and enablement around new retail media, ecommerce, and marketplace data sources and APIs (including clean-room style environments and third-party aggregators), and turn them into analytics, decision models, and tool logic that improve content delivery and media management workflows. You'll collaborate closely with BI Engineering and Data Delivery, and you'll also be client-facing, building trust, explaining methodologies, and driving adoption.

Responsibilities

• Research & onboard new data sources: Evaluate new first-party and third-party datasets/APIs, assess feasibility (availability, granularity, privacy constraints, refresh cadence, cost/value), and define how they can be used responsibly.
• Develop scalable use cases: Convert business needs into clear analytical/modeling use cases that improve media execution, audience strategy, content decisions, and operational workflows.
• Build decision models & tool logic : Create reusable data models and decision frameworks that power internal tools and client solutions (e.g., prioritization, recommendations, forecasting, guardrails).
• Apply ML/AI thoughtfully: Prototype and implement ML/AI approaches to refine targeting, campaign management, and content decisions, with a focus on explainability, measurement, and business impact.
• Partner with BI Engineering & Data Delivery: Help operationalize logic into reliable datasets, transformations, and production workflows; support day-to-day troubleshooting, validation, and standardization.
• Client interface & enablement: Explain the "why" behind models, metrics, dashboards, and tools; guide adoption through clear communication, documentation, and training.
• Commercial support & storytelling: Join client pitches to capture requirements, assess feasibility, present existing solutions, and create case studies that showcase capabilities and outcomes.
• What we want from you:
• 8+ years of experience in Data Science / Applied ML / Advanced Analytics (ideally in digital advertising, retail media, e-commerce, or marketplaces).
• Expert Python skills for analysis and modeling; strong engineering discipline (clean, testable, maintainable code).
• Advanced SQL and strong capability working with large, multi-source datasets and complex business logic.
• Strong foundation in statistics, measurement, and experimentation ; able to defend methodology and trade-offs with clients and stakeholders.
• Proven experience building decision models that are operationalized (not only research prototypes), including clear assumptions and robust evaluation.
• MLOps experience : deploying/operationalizing models, monitoring performance and drift, establishing retraining/refresh strategies, and implementing reproducible pipelines.
• Data engineering collaboration : comfortable partnering with data engi

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