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Roamler is a Dutch technology company seeking a Senior Data Scientist to join our AI/ML platform team in Amsterdam (hybrid). You will own and evolve the machine learning and AI behind our outlet-data product suite and related platforms used by FMCG brands across Europe.
You will work with data engineers to move solutions from proof of concept to production, design LLM-based components, and optimize accuracy, cost, and latency while embedding ethics and governance.
Senior Data Scientist Location: Amsterdam (hybrid) | Full-time Roamler is a Dutch technology company that helps clients grow their business, improve end-customer experience, and reduce and flexibilise the cost of field operations. It combines actionable insights with the execution capabilities required to turn those insights into measurable results. Roamler operates through two business units: - Roamler Retail provides in-store and out-of-home insights and execution for FMCG brands and retailers across Europe, enabling clients to increase sales volumes while optimising operational efficiency. - Roamler Tech delivers installation, maintenance, and repair services for large B2C service providers, improving customer experience while increasing the efficiency and flexibility of field execution. With approximately 130 employees and a large network of flexible workers active across multiple European markets, Roamler supports clients including P&G, Friesland Campina, Unilever, and Eneco. Founded in Amsterdam in 2011, Roamler is backed by Endeit Capital and Smartfin, and operates across the Netherlands, Belgium, Germany, the United Kingdom, France, United States, and Spain. Where you sit We are seeking a Senior Data Scientist to join our AI/ML platform team and drive our data science products together with our other senior data scientist. You'll own and evolve the machine learning and AI behind our outlet-data product suite, the data platform behind our OOH Location Database, Salesmapp, and related products used by food & beverage brands across Europe. This covers both our classical ML/NLP enrichment pipeline (matching, classification, embeddings, image recognition) and our modern LLM and AI pipelines. You'll work closely with our data engineers, who own the data ingestion pipelines, web scraping engine, and AI-driven extraction workflows that feed directly into your models. Together you'll take solutions from proof of concept all the way to production.
We are an equal opportunity employer and we value diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.