About the Position

Data Scientist

Luxembourg, Luxembourg District, Luxembourg

About the Company

VML is a global creative company that combines brand experience, customer experience, and commerce to create connected brands that drive growth. Guided by a Human First philosophy, VML is known for its innovative work for brands and consistently ranks among the world’s leading creative companies, including the WARC Creative 100. VML’s global network spans 55+ markets with principal offices in Buenos Aires, Kansas City, London, New York, São Paulo, Shanghai, and Singapore.

VML is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions, and expert strategic counsel.

For more information, please visit www.vml.com and follow along on LinkedIn #WeAreVML.

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 maximizing 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.

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.

Requirements

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 engineering/BI teams to productionize data flows, data quality checks, and scalable transformation layers; experience collaborating with BI transformation frameworks (e.g., dbt) and building consistent metric/semantic layers across products and clients.
Strong stakeholder management and communication skills; can translate ambiguity into a plan and technical depth into adoption-ready explanations.
Fluent in English (written and spoken)

Nice to Have

Experience working with privacy-safe / clean-room-like analytics environments and modern data governance constraints.
Cloud data stack exposure (warehouse/lakehouse patterns, orchestration, CI/CD for data/ML).
Experience with NLP/GenAI applied to commercial insights and content workflows, with appropriate human-in-the-loop controls.
Additional languages (French or German).

We Offer

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritize your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

About VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects, and skilled developers and operators that together help some of the world’s leading organizations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B, and social platforms. With over 4,200 experts in 55 operational centers across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell, and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools, and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

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Data Scientist

Job description