Manager Data Science – Corporate Markets, Life Sciences

Job title: Manager Data Science – Corporate Markets, Life Sciences

About the Role We are looking for a Manager Data Science to lead a team of data scientists within Elsevier’s Corporate Markets Life Sciences area. You will set team direction, manage delivery, develop people, and ensure the team applies strong data science practices to solve complex business and customer problems across ML, NLP, knowledge graphs and GenAI.

What You'll Do

• Lead, coach, and develop a team of data scientists, setting strategy, priorities, and operating rhythm aligned with Corporate Markets and Life Sciences goals.
• Plan, delegate, and manage resources across multiple projects and product areas; foster a culture of scientific rigor, collaboration, responsible AI, and continuous improvement.
• Guide the team in defining and applying best practices for data science, experimentation, model evaluation, data quality, and production collaboration.
• Lead the application of data science methods across a broad portfolio (ML, statistical modelling, NLP, neural networks, search, recommendation, knowledge graphs, and generative AI); oversee models and pipelines for classification, entity recognition/linking, document understanding, ranking, extraction, enrichment, prediction, and decision support.
• Support integration of structured and unstructured scientific data (chemical entities, drugs, genes, diseases, clinical trials, safety data, publications, patents, metadata, ontologies) and guide use of modern AI approaches (embeddings, LLMs, RAG, prompt-based workflows, GenAI evaluation).
• Partner with engineering to ensure solutions are robust, scalable, maintainable, and production-ready; promote responsible AI practices, transparency, privacy, fairness and risk management.
• Define evaluation approaches and metrics for model quality, retrieval, ranking, data accuracy, user outcomes, and business impact; oversee offline evaluation, A/B testing, error analysis, annotation workflows, and human-in-the-loop where needed.
• Collaborate with product managers, engineers, domain experts and stakeholders to translate customer needs into data science opportunities and measurable outcomes; communicate findings clearly to technical and non-technical audiences.

What We're Looking For

• Master’s or PhD in Computer Science, Data Science, Machine Learning, Statistics, Bioinformatics, Cheminformatics, Information Retrieval or related field, or equivalent practical experience.
• At least 5 years of experience in data science, ML, NLP, statistical modelling, information retrieval, or applied AI.
• Experience managing or leading technical teams directly.
• Strong understanding of data science methods, including supervised/unsupervised learning, Gen AI, statistical analysis, model evaluation, and experimentation.
• Practical experience with Python and common data science, machine learning, or NLP frameworks.