Top Data Science Jobs in Amsterdam

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.

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.

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.

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 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 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.

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.

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.

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 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 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.

Leads a cross-functional Payments Intelligence team of analytics engineers, data scientists, and decision scientists. Sets team direction, develops talent, builds scalable data products, and drives high-quality, data-informed decisions. Partners with Product, Engineering, Business, Compliance, and Finance stakeholders, while providing technical guidance, resolving ambiguity, and aligning analytics strategy with business goals in a fast-growing fintech environment.

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.

Leads and grows a six-person Data Science and Analytics team supporting customer-service agent tooling. Defines support-quality metrics, guides experimentation and machine-learning practices, accelerates model deployment, and shapes team strategy and roadmaps. Partners with Product, Engineering, Design, Support Operations, and Vendor Management to improve help resolution. Responsible for hiring, mentoring, organizational design, technical standards, tactical planning, and cross-functional decision-making.

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.

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

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.