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About the Role

Lead teams building AI to advance science, shaping AI and data science strategy to drive meaningful impact across products, customers, and business outcomes. Guide teams through the full lifecycle of AI systems, from experimentation to production, while aligning work to product goals and customer needs. Influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation.

Responsibilities

• Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities.
• Lead and develop high-performing teams by coaching talent, setting priorities, fostering scientific rigor, and building an inclusive, collaborative culture.
• Deliver advanced AI and knowledge-discovery systems across the full lifecycle, from experimentation through production, including LLMs, RAG, search, and domain-enriched AI solutions.
• Drive evaluation and AI quality by establishing robust frameworks, metrics, experimentation practices, and responsible AI standards.
• Influence across product, technology, and business by partnering with cross-functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact.

Requirements

• Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience.
• Strong technical expertise across modern data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems.
• Hands-on experience delivering AI-powered products, including LLMs, RAG, semantic search, embeddings, agentic workflows, and knowledge-driven systems.
• Proven success leading and developing technical teams in complex product, platform, or research environments.
• Experience working with large, complex datasets and building scalable, maintainable, production-ready AI/ML systems.
• Strong people leadership, prioritization, communication, and stakeholder management skills, with the ability to turn ambiguity into clear strategy and measurable outcomes.

Skills

• AI
• Data Science
• Machine Learning
• NLP
• Search
• Generative AI
• LLMs
• RAG
• Information Retrieval
• Statistics
• Deep Learning
• Production AI systems
• Semantic Search
• Embeddings
• Agentic workflows
• Knowledge-driven systems

Benefits

• Wellbeing initiatives
• Shared parental leave
• Study assistance
• Sabbaticals
• Flexible working hours

About the Company

• A global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
• Combines quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice.
• Harnesses innovative technologies to support science and healthcare to partner for a better world.
• Elsevier is a global leader in advanced information and decision support for science and healthcare.
• Believes that by working together with the communities they serve, they can shape human progress to go further, happen faster, and benefit all.
• Supports continuous discovery and upholds the highest standards of content integrity, reliability, and reproducibility.
• Transforms complexity into clarity and delivers mission-critical insights that help professionals make better decisions.
• Delivers insights that help research institutions, governments, and funders achieve their goals.
• Helps researchers discover and share knowledge, collaborate, and accelerate innovation.
• Helps librarians provide verified, quality information to universities.
• Helps innovators turn knowledge into new products.
• Helps health professionals improve patient care and educators train the next generation of doctors and nurses.
• With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, committed to supporting the scientific and healthcare communities around the world.
• Offers a diverse range of opportunities across technology, commercial, business, and early career jobs.
• Elsevier is part of RELX Group.

Equal Opportunity

• Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.