Top Data Science Jobs in the Netherlands

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.

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 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 data science consulting projects, translate business problems into analytics solutions, manage client relationships, oversee project delivery, identify growth opportunities, and guide junior team members. The role involves working across the data lifecycle, applying statistical and machine learning expertise, presenting insights to business stakeholders, and coordinating multidisciplinary teams.

Lead data science consulting engagements, manage client relationships, translate business problems into analytics solutions, oversee project delivery, and guide analytical teams. Advise senior business leaders, communicate complex concepts clearly, identify growth opportunities, and mentor junior team members. The role requires strong statistical, programming, database, visualization, and machine learning expertise, along with substantial consulting or industry experience and project leadership.

Leads data science projects for client organizations, translating business problems into impactful analytics solutions. Manages client relationships, provides project oversight, identifies new opportunities, presents analytical findings, and guides junior team members. The role involves the full data lifecycle, including acquisition, cleaning, integration, analysis, interpretation, visualization, and machine learning, while coordinating multidisciplinary teams and communicating complex concepts to business stakeholders.

Manage data science personnel and develop production-quality systems for media research. Process, integrate, and model complex data using R, Python, SQL, and Google Cloud Platform. Conduct statistical analyses and predictive modeling, support research teams, validate results, visualize findings, communicate insights, and improve data workflows and methodologies.

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.

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 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.

Perform data analysis across growth revenue management, marketing, CRM, customer lifecycle, and risk analytics. Use statistical and programming tools to clean, analyze, interpret, and visualize data; develop hypotheses and actionable recommendations; present findings; facilitate workshops; manage executive stakeholders; and mentor team members.

Perform data analysis across growth revenue management, marketing, CRM, and risk analytics using statistical and programming tools. Clean, integrate, interpret, and visualize data; develop hypotheses and actionable recommendations; present findings to stakeholders and executives; facilitate workshops; and coach team members.

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.

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

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.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

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.