Senior Manager, Data Science

RELX (ElsevierJobs); Greater London; Hybrid; GBP 120,000 - 190,000; Full time

Benefits offered by this job

Study assistance

Sabbaticals

Shared parental leave

Wellbeing initiatives

Job summary

RELX (ElsevierJobs) is seeking 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, aligning work to product goals and customer needs, while influencing senior stakeholders.

You will lead high-performing teams, foster scientific rigor, and drive measurable outcomes across the organization, delivering advanced AI systems at scale.

Qualifications

• Significant experience in data science, AI/ML, NLP, or related quantitative field.
• Strong technical expertise across modern data science methods and production AI systems.
• Hands-on experience delivering AI-powered products including LLMs, RAG, and semantic search.
• Proven success leading technical teams in complex product or research environments.
• Experience with large, complex datasets and scalable AI/ML systems.
• Excellent communication and stakeholder management; turning ambiguity into strategy.

Responsibilities

• Set AI and data science strategy across ML, NLP, search, and generative AI.
• Lead and develop high-performing teams with coaching and inclusive culture.
• Deliver AI and knowledge-discovery systems across full lifecycle from experimentation to production.
• Drive AI quality with metrics, experimentation practices, and responsible AI standards.
• Influence product, tech, and business by shaping roadmaps and translating insights.

Skills

Data science

AI/ML

NLP

Information retrieval

Statistics

Production AI

LLMs

RAG

Semantic search

Leadership

Tools

LLMs

RAG

Job description

Data Science Leader

AI for Science, Research Intelligence & Knowledge Discovery

Technology – Data Science Organization

Are you ready to lead the teams building AI that helps advance science?

Are you motivated to shape AI and data science strategy that drives meaningful impact across products, customers, and business outcomes?

Would you enjoy leading teams to build advanced AI systems that power knowledge discovery and innovation at scale?

About our Team

Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.

About the Role

In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while aligning work to product goals and customer needs. You will also 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.

Work in a Way That Works for You

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

About the Business

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.

Together, we create possibilities. Join us.

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