Senior Manager, Data Science

Responsibilities

• Set AI and data science strategy across ML, NLP, search, recommendation, and generative AI to align with business priorities.
• Lead and develop high-performing technical teams by coaching talent and fostering a culture of scientific rigor.
• Deliver advanced AI and knowledge-discovery systems through the full lifecycle, from experimentation to production.
• Implement LLMs, RAG, and domain-enriched AI solutions to drive impactful product outcomes.
• Establish robust evaluation frameworks, metrics, and responsible AI standards to ensure high-quality outputs.
• Partner with cross-functional leaders to shape product roadmaps and translate technical insights into business impact.

Requirements

• Significant experience in data science, AI/ML, NLP, or a related quantitative field.
• Strong technical expertise in machine learning, deep learning, and generative AI.
• Hands-on experience delivering AI-powered products using LLMs, RAG, semantic search, and agentic workflows.
• Proven success leading and developing technical teams in complex product or research environments.
• Experience working with large, complex datasets and building scalable, production-ready AI/ML systems.
• Excellent communication and stakeholder management skills with the ability to navigate ambiguity.

Benefits

• Flexible working hours to support productivity and work-life balance.
• Comprehensive wellbeing initiatives and study assistance.
• Shared parental leave and sabbatical opportunities.
• Country-specific benefits designed to support long-term career goals.

About the Company

Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes. By combining high-quality content with powerful analytics, we transform complexity into clarity to support visionary science, health education, and clinical practice.