Senior Data Scientist

Senior Data Scientist ILocation: Amsterdam, Netherlands | Hybrid & Flexible WorkingSalary: Up to €89,900 + Bonus + Excellent BenefitsAre you passionate about Generative AI, Search, Machine Learning and building intelligent systems that solve real-world problems at scale?An exciting opportunity has arisen for a Senior Data Scientist to join a global leader in data, analytics and technology. Working at the forefront of AI innovation, you will help develop next-generation search, retrieval and generative AI solutions that empower researchers, healthcare professionals and scientific communities worldwide.The RoleAs a Senior Data Scientist, you will play a key role in designing, developing and evaluating advanced AI-powered search and retrieval systems. You'll work on cutting-edge Retrieval-Augmented Generation (RAG) platforms, semantic search technologies, large language models and evaluation frameworks that drive intelligent discovery experiences across global products.This is an excellent opportunity for someone with strong hands-on expertise in Machine Learning, NLP and Information Retrieval who is looking to take ownership of complex technical challenges whilst contributing to the future direction of AI innovation.Key ResponsibilitiesDesign and optimise large-scale search and retrieval systems, including lexical, vector and hybrid search architecturesDevelop and enhance Retrieval-Augmented Generation (RAG) pipelines and LLM-powered applicationsDrive experimentation with embeddings, re-ranking models and retrieval strategies to improve relevance and user outcomesBuild and evolve evaluation frameworks for search quality, generative AI performance and model effectivenessDesign and analyse A/B tests, offline experiments and performance metricsDevelop gold-standard datasets, annotation methodologies and evaluation benchmarksApply state-of-the-art techniques in NLP, machine learning and generative AI to production environmentsCollaborate closely with engineering teams to deploy scalable and robust AI solutionsContribute to responsible AI initiatives, including fairness, bias mitigation and model governanceWork alongside domain experts to integrate structured scientific, biomedical and healthcare data into AI-powered discovery systemsAbout YouYou'll bring a strong combination of technical depth, analytical thinking and commercial awareness, with a passion for solving complex data science challenges.Essential ExperienceMaster's degree or PhD in Computer Science, Data Science, Machine Learning or a related discipline3+ years' experience in Data Science, Machine Learning, NLP or Information RetrievalStrong hands-on experience with:Search and retrieval systemsVector databases and semantic searchRetrieval-Augmented Generation (RAG)Large Language Models (LLMs)Machine Learning evaluation frameworksPython programmingExperience with modern AI frameworks such as PyTorch, Hugging Face, LangChain, LangGraph or HaystackExperience working with Databricks or similar distributed data platformsStrong understanding of experimentation design, statistics and model evaluationDesirable ExperiencePhD qualificationInformation Retrieval (IR) research experienceKnowledge graphs and semantic technologiesScientific, biomedical or healthcare datasetsMLOps and production machine learning environmentsHuman-in-the-loop evaluation methodologiesPublished research in AI, NLP, Search or Machine LearningWhat's on Offer?Competitive salary and annual bonusFlexible and hybrid working arrangementsWork-from-anywhere opportunitiesGenerous pension schemeEnhanced family leave policiesComprehensive wellbeing programmeLearning and development supportCareer progression within a globally recognised organisationSabbatical opportunitiesModern collaborative working environmentThe chance to work on some of the most exciting AI and search technologies shaping the future of scientific and healthcare discoveryIf you're excited by Generative AI, Search, Retrieval Systems and Machine Learning and want to work on products that have a genuine global impact, we'd love to hear from you.