Data Scientist

Data Scientist📍 Amsterdam, Netherlands | Hybrid/Flexible WorkingAn exciting opportunity is available for a Data Scientist to develop production-ready machine learning, NLP, and Generative AI solutions that help transform complex scientific data into intelligent, real-world applications.Working within a collaborative, cross-functional environment, you'll design and deploy AI-powered solutions that improve knowledge discovery, information retrieval, semantic search, and decision support using large-scale scientific content and data.Key ResponsibilitiesDesign, develop and deploy machine learning, NLP and Generative AI solutions for scientific discovery and intelligent content understanding.Build models supporting semantic search, information retrieval, recommendation systems, question answering, summarisation, entity extraction and content classification.Work with large-scale structured and unstructured datasets including scientific publications, research data, knowledge graphs, ontologies, metadata and citations.Apply a range of machine learning techniques including classification, regression, clustering, ranking, deep learning, embeddings, LLMs and retrieval-based methods.Fine-tune, evaluate and integrate AI models into scalable, production-ready systems.Develop clean, maintainable Python code and reusable data science components, pipelines and experimentation frameworks.Monitor model performance, detect drift, support automated retraining and continuously optimise deployed solutions.Partner closely with engineering, product, UX, analytics and domain experts to translate business challenges into measurable AI solutions.Communicate technical concepts, model performance and recommendations to both technical and non-technical stakeholders.Skills & ExperienceExperience in Data Science, Machine Learning, Artificial Intelligence, Natural Language Processing, Statistics, Computer Science or another quantitative discipline.Strong Python programming skills with experience writing clean, well-tested and maintainable code.Experience working with Large Language Models (LLMs), including platforms such as GPT, Claude or Gemini, with exposure to prompt engineering, fine-tuning or model integration.Solid understanding of supervised and unsupervised learning, feature engineering, model evaluation and performance optimisation.Experience working with large structured, semi-structured or unstructured datasets, particularly text-heavy datasets.Proficiency with modern machine learning libraries such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch or TensorFlow.Strong analytical thinking with the ability to solve complex problems and convert ambiguous requirements into practical solutions.Excellent communication and collaboration skills with experience working across multidisciplinary teams.What's on OfferFlexible working arrangements supporting work-life balance.Hybrid working environment.Wellbeing initiatives, parental leave, study assistance and sabbatical opportunities.The opportunity to work on cutting-edge AI, NLP and machine learning technologies.A collaborative, innovative environment where your work contributes to advancing scientific research and healthcare worldwide.Competitive salary and comprehensive benefits package.If you're passionate about applying machine learning and Generative AI to solve meaningful real-world problems while working with large-scale scientific data, this is an excellent opportunity to make a significant impact.