Top Data Science Jobs in Amsterdam

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.

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.

Managing Director responsible for growing cybersecurity consulting through sales, business development, account management, commercial proposals, client delivery, and team leadership. The role leads engagements with new and existing clients, develops cybersecurity strategies and best practices, achieves sales and delivery targets, and builds consultant teams. Candidates need a master’s degree, at least eight years of consulting experience, strategic or organizational transformation expertise, strong sales and delivery capabilities, Dutch and English fluency, and an entrepreneurial mindset.

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 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 client engagements involving advanced analytics, predictive modeling, econometrics, optimization, forecasting, Generative AI, and large language models. Advise senior stakeholders, manage multidisciplinary project teams, mentor colleagues, contribute to internal data science offerings and thought leadership, and support business development through proposals and client relationship development.

Lead Netflix’s Creative Production Data Science and Analytics Engineering team in Amsterdam. Set measurement and innovation strategy for content assets and metadata, own insight-driven outcomes, guide product direction, and collaborate with product, merchandising, AI, and engineering stakeholders. Establish team vision, priorities, and operating norms while developing senior individual contributors and influencing decisions through rigorous analysis, experimentation, modeling, and data storytelling.

Collaborate with data scientists, engineers, and consultants to solve client business problems using statistical modeling, optimization, machine learning, Generative AI, and large language models. Extract actionable insights, develop analytical solutions, communicate technical findings, and support client workshops in multidisciplinary project teams.

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.

Lead strategy and execution for a SaaS product portfolio in Academic and Government Solutions. Define vision, roadmap, and KPIs; drive discovery, research, data-driven decisions, go-to-market, and commercial outcomes. Build and develop a high-performing product management team and collaborate cross-functionally with engineering, data science, UX, sales, and customer success to maximise customer value and business growth.

Lead the initiation, planning, and implementation of complex programs. Build roadmaps, manage project managers, track objectives, benefits, costs, risks, and dependencies, and report progress to business leadership. The role also oversees core team effectiveness and supports clients with ERP, data, and AI-related transformation initiatives.

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.

Lead client engagements involving machine learning, statistics, optimization, simulation, and big-data solutions. Develop predictive and explanatory models, manage projects and client relationships, contribute to commercial proposals and thought leadership, and supervise consultants while developing their technical and professional skills. The role also supports internal training, publications, business development, and international consulting assignments.

Perform data analysis across growth revenue management, marketing, customer lifecycle, CRM, and risk analytics. Use statistical and programming tools to acquire, clean, integrate, 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, 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.

Leads and develops a team of data scientists delivering machine learning, NLP, search, recommendation, knowledge graph, and generative AI solutions for life sciences products. Sets strategy, manages resources, oversees model development and evaluation, promotes responsible AI and scientific rigor, and partners with product, engineering, content, and business stakeholders to deliver scalable production solutions.

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.

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.