Data Scientist
VML
| Company | VML |
| Category | Data & Analytics |
| Location | Luxembourg |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 11 Mar 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Who We Are
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.
The opportunity:
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.
What you’ll be doing:
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.
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