Top Data Science Jobs in the Netherlands

Leads the vision, strategy, and execution of AI-powered data and analytics capabilities for Medical Affairs. Oversees patient journey analytics, advanced segmentation, stakeholder evaluation, data architecture, governance, and AI automation frameworks. Evaluates external innovations, builds proprietary solutions, manages analytics delivery teams, and advises senior leadership on data investments, innovation roadmaps, compliance, ethics, and competitive advantage.

Leads business consulting and transformation projects for energy-industry clients, including data structuring and analysis, benchmarking, interviews, workshops, process mapping, and functional specifications. The role also involves coaching junior consultants, contributing to knowledge development, and helping clients capitalize on data and AI opportunities.

Consults with energy suppliers and trading organizations on sourcing, pricing, trading, portfolio management, business analysis, and transformation projects. Responsibilities include improving financial performance, selecting IT systems, supporting investment decisions, managing stakeholders, and delivering organizational and process improvements. The role also involves energy-market analysis, data and AI opportunities, business development, recruitment, training, and knowledge sharing.

Consults with energy suppliers and trading organizations on sourcing, pricing, trading, portfolio management, business analysis, project management, stakeholder alignment, and IT system selection. Supports financial improvement, organizational redesign, investment decisions, and energy-transition initiatives. Contributes to business development, recruitment, training, strategy, and knowledge sharing while applying energy-market, data, and AI expertise.

Managing Director responsible for growing cybersecurity consulting through sales, business development, account management, commercial proposals, client delivery, and team leadership. The role leads engagements with new and existing clients, develops cybersecurity strategies and best practices, achieves sales and delivery targets, and builds consultant teams. Candidates need a master’s degree, at least eight years of consulting experience, strategic or organizational transformation expertise, strong sales and delivery capabilities, Dutch and English fluency, and an entrepreneurial mindset.

Leads energy and transport transformation consulting engagements, including strategy development, innovation, roadmap definition, and execution. Builds client relationships, contributes to business development, delivers commercial results, and provides industry insights on market developments and value chains. Mentors consultants, creates training programs, and supports clients in leveraging data and AI opportunities. Requires a master’s degree, 5–7 years of consulting experience, relevant industry networks, strategic analysis expertise, and fluent English and Dutch.

Leads energy and transport transformation engagements for clients, including strategy development, innovation, roadmap definition, and implementation. Balances commercial and delivery responsibilities, provides industry insights, develops training programs, and mentors consulting teams. Requires strategic analysis, organizational transformation, client relationship development, and the ability to sell and deliver consulting engagements.

Lead management consulting projects helping energy and utilities companies navigate industry transformation. Responsibilities include strategy, market studies, process improvement, investment decisions, regulatory compliance, outsourcing, vendor selection, project delivery, team coaching, business development, and sales support. The role requires strong energy-market knowledge, consulting or project-management experience, client networks, data and AI interest, Dutch and English fluency, and team-management skills.

Lead energy-sector consulting engagements focused on the transition to the New Energy Reality. Manage projects, mentor consultants, support business development and sales, and advise clients on market studies, operational improvements, investment decisions, regulatory compliance, outsourcing, and vendor selection. Build client relationships, monitor energy-market trends, shape service offerings, and help clients apply data and AI opportunities.

Lead consulting engagements for energy and transport clients, including transformation strategy, innovation, roadmap development, and execution. Develop industry insights, support commercial growth, deliver strategy engagements, and create training programs. Mentor consultants, foster team collaboration, and guide clients through organizational transformation while applying knowledge of data and AI opportunities.

Lead energy-sector consulting projects focused on market studies, operational improvement, investment decisions, regulatory compliance, outsourcing, and vendor selection. Manage project delivery, mentor consultants, support business development and sales, build client relationships, and help energy companies navigate industry transformation, data, and AI opportunities.

Lead energy and utilities consulting engagements covering market studies, process improvement, investment decisions, regulatory compliance, outsourcing, and vendor selection. Manage project delivery, mentor consultants, support business development and sales, and help clients navigate energy-sector transformation. Build client relationships, monitor market trends, and shape consulting offerings related to data and AI. The role requires strong energy-industry consulting experience, leadership skills, and English and Dutch fluency.

Lead client engagements involving advanced analytics, predictive modeling, econometrics, optimization, forecasting, Generative AI, and large language models. Advise senior stakeholders, manage multidisciplinary project teams, mentor colleagues, contribute to internal data science offerings and thought leadership, and support business development through proposals and client relationship development.

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.

Coordinates cultivated-protein R&D projects, translating customer needs into priorities, aligning timelines and stakeholders, supporting ingredient evaluation and study design, analysing project data, and managing grant documentation and partnerships. The role combines biotechnology knowledge, scientific collaboration, project coordination, and analytical work to advance cell-culture media and feed solutions for cultivated-protein production.

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.

Leads and grows a distributed EU-based AI and Machine Learning team, managing Data Scientists and Machine Learning Engineers. Responsibilities include line management, coaching, performance reviews, team culture, delivery processes, engineering quality, CI/CD, cloud automation, monitoring, architecture discussions, process improvement, and cross-regional stakeholder collaboration. The role partners with AI leadership on technical, organizational, and HR matters.

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 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 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 and develop a team of Data Scientists and ML Engineers building production machine-learning systems for logistics. Drive AI adoption, roadmap prioritization, agile execution, and measurable business outcomes. Partner with Product Managers, Staff ML Engineers, and the MLOps platform team to deploy scalable solutions. The role requires deep hands-on experience with production ML, recommender systems, pricing algorithms, statistical models, and modern data and AI technologies, alongside strong people leadership and executive communication skills.

Collaborate with data scientists, engineers, and consultants to solve client business problems using advanced analytics, statistical modeling, optimization, machine learning, Generative AI, and large language models. Extract actionable insights, develop analytical solutions, present findings, and support client workshops in multidisciplinary consulting teams.

Lead client engagements involving machine learning, statistics, optimization, simulation, and big-data solutions. Develop predictive and explanatory models, manage projects and client relationships, contribute to commercial proposals and thought leadership, and supervise consultants while developing their technical and professional skills. The role also supports internal training, publications, business development, and international consulting assignments.