Data Scientist

Experteer Overview As a Data Scientist at Elsevier, you will design, develop, and deploy AI/ML solutions to power knowledge discovery across the global research ecosystem. You’ll work with rich scientific data to make knowledge more discoverable, trustworthy, and actionable, influencing research outcomes and healthcare impact. You join a team tackling hard problems at the intersection of AI and science, shaping systems that connect publications, data, and ontologies. This role offers meaningful, mission-driven work with real-world impact. Compensation / Benefits * Design and deploy ML, NLP, and generative AI solutions for discovery * Build intelligent retrieval, search, recommendation, ranking, and QA systems * Develop AI systems connecting publications, datasets, citations, and ontologies * Fine-tune and integrate large language models and RAG into production * Create evaluation frameworks for quality, reliability, relevance, and impact * Build scalable data pipelines and ML workflows for experimentation and monitoring * Apply classical ML, deep learning, retrieval, and generative AI techniques to scientific problems * Collaborate with engineering, product, UX, analytics, and domain experts * Contribute clean, production-quality Python code and reusable AI components * Continuously improve AI systems for real-world scientific discovery Tasks * Degree in Data Science, ML, AI, CS, Statistics, Applied Mathematics, or related quantitative discipline * Extensive Python programming skills with production-quality DS solutions * Experience with ML fundamentals: model development, evaluation, feature engineering, optimization * Experience with large-scale structured, semi-structured, or unstructured datasets * Hands-on experience with LLMs, embeddings, retrieval systems, and generative AI * Familiarity with Scikit-learn, PyTorch, TensorFlow, Hugging Face, or equivalent tools * Experience evaluating AI outputs and improving model quality and impact * Ability to translate complex problems into measurable, data-driven solutions * Passion for advancing science and using AI for real-world impact Key requirements * annual incentive bonus * country-specific benefits * competitive base pay * opportunity to work on meaningful AI problems * work with world-class data and tech * inclusive hiring and well-being support

and for experimentation and monitoring * Apply classical ML, deep learning, retrieval, and generative AI techniques to scientific problems * Collaborate with engineering, product, UX, analytics, and domain experts * Contribute clean, production-quality Python code and reusable AI components * Continuously improve AI systems for real-world scientific discovery Tasks * Degree in Data Science, ML, AI, CS, Statistics, Applied Mathematics, or related quantitative discipline * Extensive Python programming skills with production-quality DS solutions * Experience with ML fundamentals: model development, evaluation, feature engineering, optimization * Experience with large-scale structured, semi-structured, or unstructured datasets * Hands-on experience with LLMs, embeddings, retrieval systems, and generative AI * Familiarity with Scikit-learn, PyTorch, TensorFlow, Hugging Face, or equivalent tools * Experience evaluating AI outputs and improving model quality and impact * Ability to translate aa aaau_ problems into measurable, data-driven solutions * Passion for advancing science and using AI for real-world impact Key requirements * annual incentive bonus * country-specific benefits * competitive base pay * opportunity to work on meaningful AI problems * work with world-class data and tech * inclusive hiring and well-being support