Data Science Manager: AI Strategy & Leadership

Elsevier; City Of London; Hybrid; GBP 120,000 - 190,000; Full time

Job summary

Elsevier seeks a Data Science Leader to define and lead AI and data science strategy across ML, NLP, search, and generative AI. You will guide teams through the full lifecycle from experimentation to production, aligning work to product goals and customer needs, while influencing senior stakeholders and shaping roadmaps.

You will drive measurable outcomes across the organization and foster an inclusive, collaborative culture with a strong emphasis on quality and responsible AI.

Qualifications

• Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or related quantitative field.
• Excellent 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.

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.

Skills

AI/ML expertise

NLP

Information retrieval

Production AI

Team leadership

Stakeholder management

Data science methods

Education

Quantitative field

Job description

Elsevier seeks a Data Science Leader to define and lead AI and data science strategy across ML, NLP, search, and generative AI. You will guide teams through the full lifecycle from experimentation to production, aligning work to product goals and customer needs, while influencing senior stakeholders and shaping roadmaps.

You will drive measurable outcomes across the organization and foster an inclusive, collaborative culture with a strong emphasis on quality and responsible AI.