VML is seeking a Senior Data Scientist (Individual Contributor) to join the Data Services team in Luxembourg. You will lead research and enablement around new retail media, ecommerce, and marketplace data sources and APIs, turning them into analytics, decision models, and tool logic that improve content delivery and media management workflows. You will collaborate closely with BI Engineering and Data Delivery, and be client-facing to build trust, explain methodologies, and drive adoption.
What You'll Do
- Research and onboard new data sources: Evaluate new first-party and third-party datasets/APIs, assess feasibility, 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.
- Apply ML/AI thoughtfully: Prototype and implement ML/AI approaches to refine targeting and content decisions, with a focus on explainability and business impact.
- Partner with BI Engineering & Data Delivery: Help operationalize logic into reliable datasets, transformations, and production workflows.
- Client interface & enablement: Explain the rationale behind models and tools to guide adoption through clear communication and documentation.
- Commercial support & storytelling: Join client pitches to capture requirements, assess feasibility, and create case studies that showcase outcomes.
What We're Looking For
- 8+ years of experience in Data Science, Applied ML, or Advanced Analytics, ideally in digital advertising, retail media, e-commerce, or marketplaces.
- Expert Python skills for analysis and modeling; strong engineering discipline with clean, testable code.
- Advanced SQL and strong capability working with large, multi-source datasets and complex business logic.
- Strong foundation in statistics, measurement, and experimentation; ability to defend methodology and trade-offs.
- Proven experience building decision models that are operationalized, not just research prototypes.
- MLOps experience: deploying/operationalizing models, monitoring performance and drift, and establishing retraining strategies.
- Data engineering collaboration: comfortable partnering with data engineering/BI teams to productionize data flows and data quality checks; experience with dbt and building consistent metric layers.
- Strong stakeholder management and communication skills; ability to translate ambiguity into a plan.
- 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.
- Additional languages (French or German).
Technical Stack
- Python
- SQL
- dbt
- ML/AI
Team & Environment
You will be a key member of the Data Services team, collaborating closely with BI Engineering and Data Delivery.
Benefits & Compensation
- Career development and skill growth
- Empowerment to make a difference
- Respectful and inclusive culture
Work Mode
This role is a hybrid position based in Luxembourg.
WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination.
