Top Data Science Jobs in the Netherlands

The position involves conducting research and teaching in mathematics-enhanced AI for biomedical applications, mentoring students, and advancing interdisciplinary initiatives.

Lead a global team to build, maintain and improve detection logic across MXDR technologies (SIEM, EDR, NDR). Set strategy, manage senior detection engineers, integrate TI/DFIR/Red Team inputs, ensure high-fidelity coverage with low false positives, apply data science to detection and alert correlation, and collaborate with GMS/NCC leaders to deliver transparent, market-leading MXDR detection capabilities.

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

The Senior Consultant will manage digital transformation projects, focusing on strategy, marketing excellence, and customer experience. They will collaborate globally while ensuring project quality and governance.

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

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.

Lead design and early implementation of secure, scalable AI, analytics, and automation environments. Evaluate technologies, define architecture and governance, coordinate cross-team initiatives, enable early adoption, and transition solutions to operational teams. Ensure operational readiness, compliance, and long-term maintainability while remaining hands-on for prototypes and early integrations.

Lead client engagements delivering advanced predictive models and Generative AI/LLM solutions. Manage stakeholders and multidisciplinary teams, mentor colleagues, contribute to business development, and represent the firm in thought leadership and internal capability building.

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).

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

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 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.

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.

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.

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.

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

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.

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.

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.

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.