Top Data Science Jobs in Amsterdam

Develop data and AI strategies for clients across industries. Analyze business models, define AI investment and value cases, design operating models, and create AI product roadmaps. Support innovation and analytics assignments, build client relationships, and communicate findings to audiences. The role also promotes data ethics, machine learning, visualization best practices, and AI-led business transformation.

Leads Fastned’s multidisciplinary Data & Insights team across analytics, engineering, and data science. Sets the data strategy, develops team capabilities, builds roadmaps, prioritizes business outcomes, and partners with senior stakeholders across Europe. Ensures reliable, scalable, documented, and actionable data products, analyses, models, and self-service analytics. The role emphasizes people leadership, coaching, stakeholder communication, data culture, and translating strategic priorities into measurable outcomes.

Lead Netflix’s Creative Production Data Science and Analytics Engineering team in Amsterdam. Set measurement and innovation strategy for content assets and metadata, own insight-driven outcomes, guide product direction, and collaborate with product, merchandising, AI, and engineering stakeholders. Establish team vision, priorities, and operating norms while developing senior individual contributors and influencing decisions through rigorous analysis, experimentation, modeling, and data storytelling.

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

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 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.

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 the initiation, planning, and implementation of complex programs. Build roadmaps, manage project managers, track objectives, benefits, costs, risks, and dependencies, and report progress to business leadership. The role also oversees core team effectiveness and supports clients with ERP, data, and AI-related transformation initiatives.

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.

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.

Supports sensory analysis, consumer research, and advanced analytics by developing automated workflows, cleaning and analyzing data, writing and testing code, maintaining databases, deploying solutions, documenting methods, and presenting insights. The intern collaborates with scientists and stakeholders to improve processes and transform complex data into actionable recommendations.

Leads data science consulting engagements involving machine learning, statistics, operational research, optimization, simulation, and big data. Manages end-to-end projects, client relationships, commercial proposals, publications, and professional events. Supervises consultants, validates deliverables, develops team capabilities, and supports internal offerings. Requires strong quantitative expertise, Python proficiency, consulting experience, and professional Dutch and English.

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 insights from data, develop analytical solutions, present findings, and support client workshops. The role requires strong programming, technical communication, and fluency in English and Dutch.

Lead client engagements delivering advanced analytics and Generative AI solutions. Develop predictive and explanatory models using machine learning, econometrics, optimization, and forecasting. Advise senior stakeholders, manage multidisciplinary teams, mentor colleagues, contribute to thought leadership and internal capability development, and support business development through proposals and client relationship building.

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.

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.

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.

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.

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.