Top Data Science Jobs in the Netherlands

Supports clients across industries with AI and data strategy, operating model design, investment and value cases, and AI product roadmaps. The role involves analyzing business opportunities, advising on artificial intelligence and machine learning applications, presenting insights, building client relationships, and contributing to innovation and internal initiatives. Candidates should have a relevant master’s degree, strong analytical and communication skills, and fluency in Dutch and English.

Develop GreyNoise’s cybersecurity channel business across Europe by recruiting and activating partners, building joint business plans, enabling partner teams, generating qualified pipeline, and co-selling enterprise and government opportunities. The role manages partner relationships, channel strategy, revenue targets, forecasting, commercial negotiations, partner reviews, technical enablement, demand generation, and cybersecurity event representation.

Owns the vision, strategy, roadmap, and delivery of AI-enabled editorial decision-support products after peer review. Partners with editors, data scientists, engineers, UX, and publishing stakeholders to evaluate AI capabilities, prioritize improvements, define success metrics, manage agile delivery, and ensure transparency, accountability, human oversight, and auditability. The role also supports launches, adoption, migration, and commercially informed product decisions.

Own the Mapping & Content product domain end to end, including strategy, prioritization, economics, and outcomes. Lead efforts to match hotel rooms and content across suppliers, languages, and formats with high accuracy and coverage. Partner closely with engineering and data science teams on entity resolution, search, matching, catalog, identity, recommendation, and content-quality problems. Identify high-value failures, make trade-offs between precision and coverage, and help build Nuitee’s product organization in a fast-moving environment.

Lead cybersecurity and AI trust consulting growth through sales, proposals, client delivery, account management, and team leadership. Develop new and existing client relationships, achieve commercial and delivery targets, provide strategic guidance, and build consulting teams. The role requires strategic analysis, organizational transformation, strategy consulting delivery, strong communication in Dutch and English, and the ability to develop expertise in data and AI topics.

Leads strategic R&D engagements from presales through delivery, translating scientific and business challenges into AI architectures, product backlogs, MVPs, simulations, integrations, data pipelines, and production solutions. Builds trusted relationships with R&D executives, scientists, engineers, and technical teams; assesses data, compute, feasibility, value, staffing, and delivery plans. Develops reusable architectures and playbooks, oversees technical workstreams, evaluates emerging AI capabilities, and provides feedback to shape Microsoft Discovery products and scalable industry solutions.

Leads ASML’s AI and emerging technology security risk management function, including a team of security specialists and a portfolio of risk assessments, treatment plans, exceptions, remediation, and escalations. Advises senior stakeholders, establishes assessment methodologies and governance, reviews complex AI security risks, monitors threats and regulations, and drives continuous improvement across business, IT, data, privacy, legal, compliance, and audit functions.

Develop sensing capabilities for intelligent maritime equipment and autonomous systems. Responsibilities include sensor selection, prototyping, integration, sensor fusion, signal processing, state estimation, testing, validation, and performance analysis. The role supports autonomous operations, object tracking, launch and recovery, predictive maintenance, and condition monitoring while collaborating with mechanical, control, AI, data science, and autonomous systems experts.

Supports management consulting projects involving strategic positioning, new business development, organizational redesign, business re-engineering, and operational excellence. Contributes to offer development, innovation analysis, business development, and commercial initiatives, particularly across banking, insurance, and pension sectors. Requires analytical, collaborative, and communication skills, interest in data and AI, and fluency in Dutch and English.

Leads the site Manufacturing Science and Technology organization for a commercial cell therapy facility. Defines MSAT strategy, oversees manufacturing support, investigations, process improvements, technology transfer, validation, laboratory operations, automation, and regulatory readiness. Builds high-performing technical leadership teams, governs risk and compliance, and partners across manufacturing, quality, supply chain, engineering, product development, and regulatory functions to improve process robustness, capacity, reliability, cost, and continuity.

Senior Solution Engineer supporting the Netherlands market by partnering with sales teams, customers, and channel partners. Responsibilities include presenting Snowflake solutions, leading demos and proofs of concept, designing architectures, developing technical champions, supporting account strategies, and communicating data and cloud technology value to technical and executive audiences.

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.

Works with clients to solve business problems using data science, statistical modeling, machine learning, deep learning, generative AI, agentic AI, and NLP. Responsibilities include data cleansing, preprocessing, analysis, visualization, proof-of-concept development, stakeholder workshops, and deploying production-ready models on cloud platforms. The role translates technical insights into business recommendations and supports strategic outcomes.

Lead client engagements involving advanced analytics, predictive modeling, econometrics, optimization, forecasting, Generative AI, and large language models. Manage stakeholders, advise senior leaders, guide multidisciplinary teams, mentor colleagues, and oversee project delivery. Contribute to internal training, thought leadership, proposals, business development, and long-term client relationships while applying data and AI solutions to business and sustainability challenges.

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 actionable insights, communicate analytical results, support client workshops, and translate technical concepts into recommendations. The role also involves continuous learning, multidisciplinary collaboration, and developing expertise in data and AI topics.

Lead client engagements involving advanced analytics, predictive modeling, econometrics, optimization, time-series forecasting, Generative AI, and large language models. Advise senior stakeholders, manage multidisciplinary project teams, mentor colleagues, contribute to internal thought leadership and training, and support business development. Apply data science and AI solutions across sectors including energy and finance.

Collaborate with data scientists, data engineers, and consultants on client projects. Apply statistical modeling, optimization, machine learning, Generative AI, and large language models to solve business challenges. Extract actionable insights, communicate analytical findings, and support client workshops. The role requires strong Python and analytical programming skills, technical expertise, clear communication, and fluency in English and Dutch.

Develops machine learning, statistical, optimization, simulation, and big data models for consulting clients. Manages end-to-end data science projects, client relationships, commercial proposals, publications, and business development. Supervises junior consultants, validates deliverables, and develops team expertise. The role also contributes to internal training, thought leadership, and professional events while supporting client initiatives in areas such as energy and finance.

Develop statistical models, optimization solutions, machine learning, and Generative AI applications to solve client business problems. Collaborate with data scientists, engineers, and consultants to extract insights, build innovative solutions, present findings, and support client workshops. The role requires strong Python and analytical programming skills, technical communication, and fluency in English and Dutch.

Senior Data Science Consultant developing machine learning, statistical, optimization, simulation, and big data solutions for clients. Responsibilities include leading end-to-end projects, managing client relationships, developing proposals, contributing to thought leadership, supervising consultants, and expanding data science offerings. Requires strong quantitative expertise, Python programming, relevant consulting or data science experience, and professional Dutch and English.

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.

Chief of Staff to the VP of Data Science & Analytics, responsible for operating cadence, reporting cycles, strategic initiatives, leadership coordination, governance, functional events, onboarding, and academy programs. The role drives execution, facilitates alignment, manages documentation and processes, supports AI integration, and turns analytical insights into actionable recommendations across a 300+ person data organization.

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.

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.