Top Data Science Jobs in Amsterdam

Senior Consultant delivering management consulting projects for insurance clients, focusing on strategic positioning, new business models, organizational redesign, business re-engineering, and operational excellence. The role also supports consulting offer development and business development initiatives, with an emphasis on data and AI opportunities. Candidates need consulting experience, insurance-sector knowledge, strong analytical and communication skills, and Dutch and English fluency.

Senior Consultants deliver management consulting projects involving strategic positioning, business transformation, organizational redesign, operational excellence, digitalization, marketing, customer experience, pricing, procurement, and sourcing. They contribute to client relationship development, offer innovation, business development, and internal initiatives while applying analytical and data- and AI-related expertise.

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.

Advise clients on finance organization redesign, financial controllership, business-process performance, closing and consolidation, reporting, planning, budgeting, forecasting, and finance process optimization. Contribute to consulting offer development, business development, client needs definition, and commercial initiatives while collaborating across international projects.

Work on consulting projects involving strategic positioning, new business development, organizational redesign, business re-engineering, and operational excellence. Contribute to internal offer development, sector research, business development, and commercial initiatives. The role requires collaboration with clients and teams, analytical problem-solving, synthesis, and interest in data and AI topics.

Lead the initiation, planning, implementation, and governance of complex programs. Build and execute roadmaps, manage project managers, track objectives, benefits, costs, risks, and dependencies, and report progress to business leadership. The role requires ERP implementation experience, strong analytical and leadership abilities, interest in data and AI, and fluency in English and Dutch.

Lead client engagements involving advanced analytics and Generative AI, from strategy through execution. Develop predictive, explanatory, econometric, optimization, and time-series models; oversee LLM projects; advise senior stakeholders; and guide multidisciplinary teams. Responsibilities also include mentoring colleagues, contributing to internal training and thought leadership, supporting proposals and business development, and developing client relationships.

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.

Own the technical sales process from discovery through post-sale, designing Cloudera-based solutions, delivering demonstrations and presentations, and partnering with account managers to secure sales. Build customer relationships, identify use cases, communicate product vision, advocate for customer needs, and support renewals and expansion. The role also includes technical evangelism through conferences, webinars, blogs, and community engagement.

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.

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.

Leads client data science consulting projects involving machine learning, statistics, optimization, simulation, forecasting, econometrics, and big data. Manages projects, client relationships, proposals, publications, and internal offerings while supervising and developing junior consultants. Requires strong quantitative expertise, Python proficiency, additional programming experience, and professional Dutch and English.

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 problems. Extract actionable insights, present analytical findings, and support client workshops. The role requires strong programming, technical communication, and fluency in English and Dutch.

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.

Develop and deploy scalable, production-grade machine learning and AI solutions for financial research. Build LLM- and NLP-based applications, collaborate with senior engineers, and contribute to reliable AI-driven products. Responsibilities require Python, software engineering, deep learning, databases, Docker, and at least one major deep learning framework. Preferred experience includes RAG pipelines, vector databases, LLM fine-tuning, cloud platforms, and Kaggle competitions.

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 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 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.