Top Data Science Jobs in Amsterdam

Leads consulting teams and client engagements in the Dutch insurance market, driving strategy, business improvement, regulatory and operational risk transformation, innovation, and project management. Responsibilities include business development, proposal creation, client relationship growth, mentoring consultants, industry thought leadership, and cross-office collaboration. The role requires strong insurance consulting experience, knowledge of insurance products and technologies, Dutch market connections, and interest in data and AI.

Leads financial services transformation projects, conducting complex analyses, identifying issues, developing solutions, and implementing strategic or operational improvements. Guides junior consultants, supports business development, delivers training, and manages client relationships. The role requires at least three years of financial services consulting experience, a master’s degree, Dutch and English fluency, strong analytical and presentation skills, and interest in data and AI.

Lead consulting projects supporting energy and utilities companies through the transition to the New Energy Reality. Manage project delivery, mentor consultants, support business development and sales, and advise clients on market studies, operational improvement, investment decisions, regulatory compliance, outsourcing, and vendor selection. Monitor energy-market developments, identify client opportunities, and help evolve consulting offerings involving data and AI.

Lead energy and utilities consulting projects focused on market entry, process improvement, investment decisions, regulatory compliance, outsourcing, and vendor selection. Manage project delivery, mentor consultants, support business development and sales, and help clients navigate the energy transition. Monitor market trends, shape consulting offerings, and advise organizations on data and AI opportunities.

Consultants support financial services clients on strategic positioning, new business development, organizational redesign, business re-engineering, and operational excellence. They contribute to consulting offerings, business development, innovation initiatives, and client transformation projects. The role requires strong analytical, communication, collaboration, and synthesis skills, plus knowledge of banking, insurance, or pensions and an interest in data and AI.

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.

Lead energy and transport transformation consulting engagements, including strategy development, innovation, roadmap creation, execution, client relationship management, commercial development, and team leadership. Provide industry insights, develop training programs, mentor consultants, and help clients leverage data and AI opportunities. The role requires strategic analysis, organizational transformation expertise, strong sector networks, and fluency in English and Dutch.

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.

Lead independent product analytics investigations across acquisition, activation, usage, customer experience, and the broader customer journey. Apply statistical analysis, causal inference, experimentation, and data science modeling to uncover product issues, opportunities, churn drivers, and growth insights. Analyze structured, unstructured, and AI-specific data; size opportunities; measure engineering productivity; and translate findings into actionable recommendations for Product, Engineering, Growth, commercial teams, and executives.

Own the technical sales process from initial discovery through post-sales, designing Cloudera-based solutions, demonstrating products, presenting roadmaps, and partnering with account managers to secure technical wins. The role requires customer-facing technical expertise, business requirements gathering, presentations, cloud and data platform knowledge, and customer advocacy. Responsibilities also include supporting renewals, identifying use cases, collaborating with Product and Engineering, and participating in industry evangelism.

Delivers transformation and change consulting engagements, supports proposition development, develops client relationships, contributes to business development, and leads or participates in client projects. The role also develops thought leadership on organizational transformation, digital change, data, and AI. Candidates need relevant consulting experience, strong change and business skills, coaching ability, fluency in Dutch and English, and willingness to travel occasionally.

Support insurance-sector transformation projects through data structuring, data analysis, benchmarking, interviews, workshop facilitation, process mapping, and functional specifications. Consultants will contribute to client delivery, internal knowledge creation, publications, and seminars while developing expertise in data and AI-related opportunities. The role requires strong analytical, problem-solving, communication, teamwork, and entrepreneurial skills, along with excellent English and Dutch.

Leads consulting teams and client projects for insurance and financial services organizations. Responsibilities include business strategy, process improvement, regulatory and operational risk transformation, innovation, project management, proposals, business development, mentoring, and contributing to Sia’s Dutch insurance market presence through networking and thought leadership.

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 contribute to data science thought leadership, training, publications, and business development. Apply innovative data and AI solutions to create business impact, including in energy and finance.

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 and generate actionable insights. Present analytical findings, support client workshops, and translate technical concepts into recommendations. The role requires strong programming, data and AI expertise, and fluent English and Dutch.

Leads data science consulting engagements involving machine learning, statistics, operational research, optimization, simulation, forecasting, and big data. Develops predictive and explanatory models, manages projects and client relationships, contributes to commercial proposals and thought leadership, and supervises junior consultants. Requires strong quantitative expertise, Python proficiency, knowledge of additional programming languages and Unix/Linux, professional Dutch and English, and at least three years of relevant experience.

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.

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.

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.

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.

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.