Senior Data Scientist at Elsevier

This role is designed for a data scientist with a solid foundation in natural language processing and transformer models who wants to work on high-impact GenAI enrichment pipelines. You should have an MSc in a quantitative field or at least three years of experience building machine learning models, ideally with exposure to Retrieval Augmented Generation. **What makes it worth a look...** The position offers exceptional flexibility with a "work from anywhere" policy and generous leave options, including a potential sabbatical. You also get a personal choice budget, an annual profit-sharing bonus, and access to internal tech communities while working with massive datasets in the biology and chemistry domains. **You might be a good fit if you...** * Can write production-ready Python code for data preprocessing and model execution. * Have hands-on experience using LLMs via APIs and experimentation with prompt engineering. * Are comfortable working with GitHub/GitLab within an Agile team environment. * Want to move beyond prototyping to help build and monitor end-to-end RAG pipelines in cloud environments.