Top Data Science Jobs in Amsterdam

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

Deliver transformation projects for insurance clients: data structuring and analysis, benchmarks, interviews, workshops, process mapping, and functional specifications. Support teams, contribute to knowledge sharing, and develop expertise in insurance, data and AI topics.

Lead the end-to-end search experience across platforms: define relevance and ranking strategies, partner with ML/data science, improve discovery/navigation, set search metrics, and prioritize a roadmap for UX, infrastructure, and experimentation.

Lead vision, roadmap, and performance for Search and Cache products. Oversee product owners, align roadmap with strategy, define KPIs, collaborate with ML/Data teams, co-lead R&D and A/B testing, manage direct reports, and drive stakeholder relationships and product delivery.

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.

As an AI Solution Architect, you'll drive the adoption and scaling of GenAI solutions, partner with sales, design projects, and guide clients in successful AI integration.

The AI Deployment Strategist will drive AI adoption and deployment in industrial enterprises, collaborating with clients to design AI roadmaps, integrating AI into workflows, and ensuring customer success while navigating IT compliance and security constraints.

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.

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.

As a Software Engineer, you will design and develop applications, write clean code, engage in code reviews, optimize systems, and explore new technologies in a remote team.

As a Senior Manager in Sales & Marketing, lead transformation initiatives for clients, expand the customer portfolio, and manage a high-performing team.

Lead the development of reporting and analytics capabilities, improve product features, and drive cross-functional collaboration to enhance customer satisfaction and revenue growth.

Lead client engagements delivering advanced analytics and Generative AI solutions. Develop predictive and explanatory models, guide LLM projects, advise senior stakeholders, mentor teams, and support business development and thought leadership.

Collaborate with multidisciplinary teams to build statistical models, optimization solutions, machine learning and Generative AI/LLM applications, extract insights from data, present results, and run client workshops.

Lead and deliver end-to-end data science, machine learning, optimization and big-data projects. Develop models (supervised/unsupervised, econometrics, forecasting), design optimization/simulation solutions, manage client relationships, supervise consultants, contribute to business development, publish thought leadership, and support internal training and practice growth.

Work with the Data & Analytics team to solve client data science and analytics problems. Apply theoretical machine-learning and statistical knowledge in practice, collaborate with Data Scientists, Engineers, and Analysts, take on project tasks, and contribute to knowledge sharing and visualization deliverables.

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 Senior Director of Business Development will drive Cytel's Large Pharma expansion by managing client relationships, executing sales strategies, and leading proposal development.

Lead and manage a data science team for Life Sciences products, setting strategy, delivering production-ready ML/NLP/LLM solutions (classification, extraction, search, recommendation, knowledge graphs, RAG), ensuring rigorous evaluation, responsible AI, and cross-functional stakeholder collaboration.

Lead AI and data science strategy across ML, NLP, search, recommendation, and generative AI. Manage and develop teams to deliver production-ready systems (LLMs, RAG, semantic search, embeddings), establish evaluation and responsible AI practices, and align roadmaps with product and business outcomes while influencing senior stakeholders.

Lead end-to-end delivery of multiple software projects by creating and managing plans, running agile ceremonies, tracking KPIs, coordinating distributed teams and stakeholders, mitigating risks, and ensuring on-time delivery using project management tools (Linear).

Lead AI and data science strategy and teams to design, build, and deploy ML/NLP/LLM-driven products (RAG, semantic search, embeddings). Drive evaluation, responsible AI standards, experimentation, stakeholder alignment, and measurable product and business outcomes.