Manager, Data Science

RELX

Manager leading AI and data science strategy at Elsevier, a global information and analytics company. Delivering scalable ML, NLP, search, and generative AI systems for healthcare and research.

Posted 9/10/2026full-timePhiladelphia • Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $238,100 - $442,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and data science strategy, focusing on machine learning, NLP, and generative AI. Proven ability to lead high-performing teams and deliver scalable AI solutions while establishing responsible AI standards and evaluation frameworks.

Highest-signal resume keywords

AI Strategy DevelopmentMachine Learning ExpertiseNLP ProficiencyTeam LeadershipGenerative AI Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningDeep LearningGenerative AINLPInformation RetrievalStatisticsExperimentationLarge Datasets ManagementProduction AI Systems

Soft Skills

People LeadershipPrioritizationCommunicationStakeholder ManagementInclusive Collaboration

Tools & Technologies

LLMsRAGSemantic SearchEmbeddingsKnowledge-Driven Systems

Industry Keywords

AI Evaluation FrameworksResponsible AI StandardsKnowledge Discovery SystemsScalable AI/ML SystemsComplex Product Environments

About the role

Key responsibilities & impact

Define and lead AI and data science strategy across machine learning, NLP, search, recommendation, experimentation, and generative AI
Lead and develop high-performing teams through coaching, prioritization, scientific rigor, and inclusive collaboration
Deliver AI and knowledge-discovery systems across the lifecycle from experimentation through production, including LLMs, RAG, search, and domain-enriched AI solutions
Establish AI evaluation frameworks, metrics, experimentation practices, and responsible AI standards
Partner with product, technology, and business leaders to shape roadmaps and align teams on customer and business impact

Requirements

What you’ll need

Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience
Strong technical expertise in machine learning, experimentation, deep learning, generative AI, and production AI systems
Hands-on experience with 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 with large, complex datasets and scalable, maintainable, production-ready AI/ML systems
Strong people leadership, prioritization, communication, and stakeholder management skills

Benefits

Comp & perks

Wellbeing initiatives
Shared parental leave
Study assistance
Sabbaticals
Flexible working hours
Country-specific benefits
Accommodation or adjustment support for applicants with disabilities