Top Data Science Jobs in Amsterdam

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 product strategy and execution to improve buyer discovery, engagement, conversion and retention. Own roadmap, run discovery, prototype, design and A/B experimentation, and partner with engineering, data science, design and commercial teams to deliver personalised recommendations and AI-enabled buyer journeys that drive measurable business outcomes.

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.

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.

Lead vision, roadmap, and performance for Search and Cache products. Oversee product owners, align roadmap with strategy, define KPIs, collaborate with ML/Data teams, co-lead R&D and A/B testing, manage direct reports, and drive stakeholder relationships and product delivery.

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.

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.

Lead a SaaS product portfolio for Academic & Government Solutions: define strategy and roadmap, drive execution and go-to-market, use customer insights and analytics, manage cross-functional delivery, evaluate build/buy/partner options, and hire and develop a high-performing product management team to deliver commercial growth and customer outcomes.

Lead strategy and execution for a SaaS product portfolio in Academic and Government Solutions. Define vision, roadmap, and KPIs; drive discovery, research, data-driven decisions, go-to-market, and commercial outcomes. Build and develop a high-performing product management team and collaborate cross-functionally with engineering, data science, UX, sales, and customer success to maximise customer value and business growth.

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 Software Engineer, you will design and develop applications, write clean code, engage in code reviews, optimize systems, and explore new technologies in a remote team.

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.

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 and deliver complex data science engagements: develop ML and statistical models, optimization and simulation solutions, and big-data algorithms; manage projects and client relationships; supervise and mentor consultants; contribute to proposals, training, and thought leadership.

Lead client engagements delivering advanced analytics and Generative AI solutions. Develop predictive and explanatory models, guide LLM projects, manage stakeholders, mentor teams, and support business development and thought leadership.

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.

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 end-to-end delivery of multiple software projects by creating and managing plans, running agile ceremonies, tracking KPIs, coordinating distributed teams and stakeholders, mitigating risks, and ensuring on-time delivery using project management tools (Linear).

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.