Manager Data Science

RELX INC; Cambridge (MA); On-site; USD 115,000 - 192,000; Full time

Benefits offered by this job

Annual incentive bonus

Job summary

Elsevier is seeking a Data Science Leader to build and guide high-performing teams delivering AI-powered research intelligence solutions. You will set strategy, elevate technical excellence, and partner with product, engineering, and clinical domains to advance scientific discovery across disciplines.

This role emphasizes leadership with purpose, advancing science and healthcare outcomes through trustworthy, scalable AI systems while mentoring researchers and engineers toward measurable impact.

Qualifications

• Proven experience leading data science teams.
• Experience delivering AI-powered products or platforms from concept through production.
• Strong communication with executive audiences and cross-functional partners.
• Experience working with large-scale structured, semi-structured, and unstructured data in production environments.

Responsibilities

• Lead and develop high-performing teams of data scientists, ML engineers, researchers, and technical contributors.
• Define and execute data science strategies that advance scientific discovery and knowledge-access products.
• Drive development of AI-powered capabilities across search, retrieval, NLP, and knowledge systems.
• Translate complex customer and business challenges into scalable data science solutions with measurable outcomes.
• Establish high standards for experimentation, model quality, reliability, and responsible AI practices.
• Partner with Product, Engineering, Research, UX, Analytics, and domain experts to shape product strategy.
• Mentor and coach team members fostering scientific rigor and collaboration.
• Guide the adoption of emerging AI technologies including LLMs, RAG, semantic search, and knowledge-based systems.
• Influence senior stakeholders and contribute to long-term AI, technology, and product strategy.

Skills

Data science leadership

ML/NLP expertise

Knowledge of retrieval systems

LLMs / generative AI

Stakeholder influence

Team coaching

Excellent communication

Job description

Philadelphia, PA

Connecticut

Virginia

Maryland

Massachusetts

Delaware

New Jersey

New York

R114712

AI for Science, Research Intelligence & Knowledge Discovery

Lead the Teams Building AI That Advances Science

What if the teams you lead could help accelerate scientific breakthroughs, improve healthcare outcomes, and expand human knowledge?

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians, educators, and institutions to discover evidence, connect ideas, uncover insights, and solve some of the world's most important challenges.

Every day, millions of researchers depend on our products to navigate an ever-growing universe of scientific knowledge. As a Data Science Leader, your work will directly influence how knowledge is discovered, understood, trusted, and applied across the global research ecosystem.

This is leadership with purpose. This is AI in service of science.

About the team

As part of a growing team of Data Scientists, you will take on some of the hardest problems in science. This team is building intelligent systems that can reason across scientific publications, research data, knowledge graphs, ontologies, metadata, taxonomies, citations, and content spanning every scientific discipline.

About the Role

As a Data Science Leader, you will build, develop, and inspire high-performing teams responsible for delivering advanced AI, machine learning, search, retrieval, NLP, and generative AI solutions that power scientific discovery and research intelligence.

You will provide strategic direction, elevate technical excellence, and help shape the future of AI-enabled products used by researchers and healthcare professionals worldwide. Working at the intersection of cutting-edge technology and meaningful impact, you will guide teams solving some of the most complex and intellectually challenging problems in science.

Success in this role requires a balance of technical depth, people leadership, strategic thinking, and a passion for helping others do their best work while advancing a mission that matters.

What You'll Do

• Lead and develop high-performing teams of data scientists, machine learning engineers, researchers, and technical contributors.
• Define and execute data science strategies that advance scientific discovery, research intelligence, and knowledge-access products.
• Drive the development of AI-powered capabilities across search, retrieval, recommendation, NLP, knowledge systems, and generative AI.
• Translate complex customer, scientific, and business challenges into scalable data science solutions and measurable outcomes.
• Establish high standards for experimentation, evaluation, model quality, reliability, and responsible AI practices.
• Partner closely with Product, Engineering, Research, UX, Analytics, and domain experts to shape product strategy and delivery.
• Mentor and coach team members while fostering a culture of scientific rigor, collaboration, innovation, and continuous learning.
• Guide the adoption of emerging AI technologies, including LLMs, retrieval-augmented generation, semantic search, and knowledge-based systems.
• Influence senior stakeholders and contribute to long-term AI, technology, and product strategy across the organization.
• Ensure that AI systems are trustworthy, scalable, explainable, measurable, and aligned with meaningful customer and societal outcomes.

What We’re Looking For

• Significant experience leading data science, machine learning, artificial intelligence, NLP, information retrieval, or related technical teams.
• Proven success building, coaching, and developing high-performing teams in complex technology or product environments.
• Technical expertise across machine learning, generative AI, large language models, retrieval systems, experimentation, and model evaluation.
• Experience delivering AI-powered products or platforms from concept through production deployment and measurable impact.
• Deep understanding of modern AI approaches, including LLMs, RAG architectures, semantic search, embeddings, and knowledge systems.
• Experience establishing evaluation frameworks, experimentation practices, and performance metrics for AI solutions.
• Ability to translate ambiguous challenges into clear strategy, execution plans, and business outcomes.
• Exceptional communication and stakeholder-management skills with the ability to influence technical, product, and executive audiences.
• Experience working with large-scale structured, semi-structured, and unstructured data in production environments.
• A passion for advancing science, expanding access to knowledge, developing people, and applying AI to create meaningful real-world impact.

Why Join Elsevier

Because your leadership will matter.

You will lead teams building AI systems that help researchers discover knowledge faster, assess evidence more effectively, generate new insights, and accelerate scientific progress.

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.

If performed in Maryland, the base pay range is $121,200 - $201,900.If performed in New York, the base pay range is $126,900 - $211,500.If performed in New York City, the base pay range is $138,400 - $230,700.If performed in Rochester, NY, the base pay range is $115,400 - $192,300.If performed in New Jersey, the base pay range is $136,213 - $217,587.

This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here (https://www.relx.com/careers/join-us/benefits) to access benefits specific to your location.

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RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.

Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.

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