Top Data Science Jobs in Amsterdam

Lead end-to-end strategic initiatives for Regulatory & Compliance: market expansion, licensing roadmaps, operating model redesigns, and AI/automation deployments. Partner with Product, Engineering, Risk and regional teams, advise senior leadership, craft executive materials, and define performance metrics to scale global compliance operations.

The AI Lead is responsible for managing AI teams, driving AI project strategies, and ensuring deployment efficiency in telecommunications. They will oversee AI R&D, mentor team members, and collaborate across teams to align AI solutions with business goals.

The Public Procurement Consultant will guide clients on procurement processes, ensuring compliance, developing strategies, managing tenders, and enhancing vendor relations through training and capacity building.

The Senior Consultant in Procurement will enhance client competitiveness through procurement transformation, risk management, data-driven decision making, and improving sourcing strategies.

Lead end-to-end delivery of business applications across EMEA: manage IS projects, perform business process analysis, ensure GxP compliance and CSV, administer and enhance systems, manage vendors, support audits, and drive user adoption and secure operating models while partnering with commercial, medical, and global stakeholders.

As an AI Product Manager, you will define the product roadmap, collaborate with teams to develop AI features, conduct market research, and ensure ethical AI use.

Own product strategy and backlog for AI-driven media automation and planning tools. Prioritize features, translate business needs into user stories, coordinate with engineering and data science, manage stakeholder relationships, and drive roadmap and commercial ROI from concept through launch and iteration.

As a Senior Manager in Sales & Marketing, lead transformation initiatives for clients, expand the customer portfolio, and manage a high-performing team.

Lead the development of reporting and analytics capabilities, improve product features, and drive cross-functional collaboration to enhance customer satisfaction and revenue growth.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

The consultant will bridge business and IT by translating client needs into sustainable solutions, guiding development teams, project planning, and providing user training.

Lead strategy and delivery for knowledge management and AI in an AI-assisted research workspace. Own product vision, roadmap, and squad delivery for project spaces, personalization, and a researchers persistent memory. Run customer discovery, partner with retrieval and storage teams, work with embedded data scientists on evaluation, and turn evidence into prioritized product improvements toward an AI-maintained knowledge base.

Own strategy and roadmap for knowledge management and AI within an AI-assisted research workspace. Lead delivery of project spaces and the personal-knowledge memory, run customer discovery and experiments, partner with data science and retrieval teams to evaluate AI responses, and prioritize improvements to drive a living, AI-maintained knowledge base for researchers.

The Senior Director of Business Development will drive Cytel's Large Pharma expansion by managing client relationships, executing sales strategies, and leading proposal development.

Lead the end-to-end search experience across platforms: define relevance and ranking strategies, partner with ML/data science, improve discovery/navigation, set search metrics, and prioritize a roadmap for UX, infrastructure, and experimentation.

Lead client engagements delivering advanced predictive and explanatory models and Generative AI/LLM solutions. Manage stakeholders, mentor multidisciplinary teams, drive strategy-to-execution delivery, support business development, and contribute to internal training and thought leadership.

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.

Lead GTM strategy and product positioning for key products, create messaging and content, run campaigns and launches, analyze market and competitive trends, and collaborate cross-functionally to drive adoption, pipeline growth, and customer engagement.

Lead and deliver end-to-end data science and optimization projects: develop predictive and explanatory models, design optimization/simulation solutions, process large/unstructured data, manage client relationships, supervise consultants, contribute to business development and thought leadership.

Lead and grow a 4–6 person Data Science and Decision Science team focused on marketing measurement. Own attribution, media-mix, LTV and long-term effect measurement, applying causal inference and statistical modelling. Build scalable, repeatable, self-service solutions and leverage AI tools to speed development. Partner cross-functionally to translate models into budget and marketing decisions while remaining hands-on for high-impact projects.

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.

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.

Work in multidisciplinary teams to apply advanced analytics, machine learning, optimization, and Generative AI/LLMs to solve client business problems, present results, and facilitate workshops.

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.