Senior Manager, Data Science

Salary: £65,000 - 105,000 per year

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.

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.

Technologies:

• AI
• Support
• Machine Learning
• RAG

More:

We are a global team supporting products in education and electronic health records, helping students learn digital charting and document care in a modern clinical environment. We value trust, respect, collaboration, agility, and quality, and we offer a stable product environment with flexible working hours, wellbeing initiatives, shared parental leave, study assistance, and sabbaticals. As part of Elsevier, a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes by combining quality information, vast datasets, and analytics to support science, research, health education, interactive learning, and healthcare. We are committed to work-life balance, country-specific benefits, and an accessible hiring process.

last updated 35 week of 2026