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About the Role
Define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. 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
- Recommendation Systems
- Experimentation
- Information Retrieval
- Deep Learning
- Production AI Systems
- Semantic Search
- Embeddings
- Agentic Workflows
- Knowledge-driven Systems
Work Type
- Flexible hours
Benefits
- Wellbeing initiatives
- Shared parental leave
- Study assistance
- Sabbaticals
- Country specific benefits
About the Company
- A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
- Building on our publishing heritage, we combine 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.
- At Elsevier, your work contributes to the world's grand challenges and a more sustainable future.
- We harness innovative technologies to support science and healthcare to partner for a better world.
Equal Opportunity
- We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
- We are an equal opportunity employer: 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.