Top Data Science Jobs in the Netherlands

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.

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

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.

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 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.

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 client engagements designing and delivering advanced analytics and Generative AI solutions. Develop predictive/econometric/optimization/time-series models, lead LLM projects, advise stakeholders, mentor teams, support business development and thought leadership activities.

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

The internship involves working on model development for seasoning, creating digital knowledge tools, and engaging in various impactful projects in R&D.

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.

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.

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.

Advise clients on data strategy and architecture, build scalable data pipelines and production-ready ML solutions, deploy models in cloud environments, and develop GenAI applications while managing stakeholders and ensuring data quality.

Work with clients to build data-driven solutions: clean and model large datasets, apply ML/Deep Learning/Generative and Agentic AI, develop POCs, deploy production-ready models on cloud platforms, and translate analytics into business recommendations while facilitating workshops and stakeholder engagement.

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.