Top Data Science Jobs in the Netherlands

As the Senior Technical Lead of the AI & Analytics Ops squad, you'll drive engineering excellence, technical direction, and ensure the secure deployment and maintenance of AI workloads at scale.

Leads a cross-functional Payments Intelligence team of analytics engineers, data scientists, and decision scientists. Sets team direction, develops talent, builds scalable data products, and drives high-quality, data-informed decisions. Partners with Product, Engineering, Business, Compliance, and Finance stakeholders, while providing technical guidance, resolving ambiguity, and aligning analytics strategy with business goals in a fast-growing fintech environment.

Work with the Data & Analytics team to solve client data science and analytics problems. Apply theoretical machine-learning and statistical knowledge in practice, collaborate with Data Scientists, Engineers, and Analysts, take on project tasks, and contribute to knowledge sharing and visualization deliverables.

Leads applied inference and causal analysis for Netflix Studio Production, helping optimize content creation trade-offs among cost, time, and quality. Partners with product, finance, operations, and creative stakeholders to develop metrics, conduct research, uncover insights, and translate complex findings into business decisions. The role owns research end to end, communicates with technical and non-technical audiences, and contributes regional expertise across EMEA.

Collaborate with data scientists, engineers, and consultants on client projects. Apply statistical modeling, optimization, machine learning, Generative AI, and large language models to solve business challenges. Extract insights from data, present analytical findings, support client workshops, and translate technical concepts into actionable recommendations.

Collaborate with data scientists, engineers, and consultants on client projects. Apply statistical modeling, optimization, machine learning, Generative AI, and large language models to solve business problems. Extract actionable insights, develop analytical solutions, present results, and support client workshops in multidisciplinary teams.

Leads client engagements involving advanced analytics, predictive and explanatory modeling, econometrics, optimization, forecasting, Generative AI, and LLMs. Advises senior stakeholders, guides multidisciplinary project teams, mentors colleagues, supports business development, and contributes to internal training, publications, thought leadership, and the development of data science and AI offerings.

Senior data science consultant developing machine learning, statistical, optimization, simulation, forecasting, and big data models for clients. Responsibilities include managing end-to-end projects, client relationships, consulting proposals, business development, publications, training, and supervising junior consultants. The role requires presenting insights, ensuring deliverable quality, mentoring team members, and contributing to the firm's data science offerings.

Lead data science consulting engagements involving machine learning, statistics, operational research, optimization, simulation, forecasting, and big data. Manage projects end to end, client relationships, reporting, commercial proposals, and new opportunities. Contribute to thought leadership, training, publications, and firm offerings while supervising and developing junior consultants. Requires strong quantitative expertise, Python programming, consulting capability, and professional Dutch and English.

Collaborate with data scientists, engineers, and consultants on client projects. Apply advanced analytics, statistical modeling, optimization, machine learning, Generative AI, and large language models to solve business problems. Extract actionable insights, communicate analytical findings, and support client workshops. The role requires strong programming, technical communication, and the ability to translate complex analyses into practical recommendations.

Lead and manage a data science team for Life Sciences products, setting strategy, delivering production-ready ML/NLP/LLM solutions (classification, extraction, search, recommendation, knowledge graphs, RAG), ensuring rigorous evaluation, responsible AI, and cross-functional stakeholder collaboration.

Lead AI and data science strategy across ML, NLP, search, recommendation, and generative AI. Manage and develop teams to deliver production-ready systems (LLMs, RAG, semantic search, embeddings), establish evaluation and responsible AI practices, and align roadmaps with product and business outcomes while influencing senior stakeholders.

Lead a data science team to deliver data-driven solutions in life sciences, applying machine learning, NLP, and AI methods. Oversee project management, stakeholder collaboration, and ensure high-quality standards in data science practices.

Lead AI and data science strategy and teams to design, build, and deploy ML/NLP/LLM-driven products (RAG, semantic search, embeddings). Drive evaluation, responsible AI standards, experimentation, stakeholder alignment, and measurable product and business outcomes.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.