The Senior Data Scientist will build, test, and maintain NLP solutions, manage small-scale projects, and ensure the robustness of data science pipelines. Responsibilities include data analysis, model development, and collaboration with technology teams for production-ready implementations.

The Data Scientist II will develop and maintain NLP solutions, manage data science projects from design to production, create production ready Python packages, and ensure the robustness of data science pipelines against model drift.

The Customer Success Consultant (SME) will support Elsevier customers by providing expertise in analytics solutions, ensuring successful adoption and deployment of products, conducting training, and assisting in customer engagement efforts. The role involves collaborating with Sales, Product, and Marketing to address complex customer needs, providing guidance during onboarding, and leading change management initiatives.