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RELX

Global information analytics and decision tools

Manager Data Science

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMexico City, CDMX, Mexico$238.1k - $442.2kHybrid

About the Job

Requirements

  • Significant experience in data science, artificial intelligence/machine learning, natural language processing, 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 artificial intelligence, and production artificial intelligence systems.
  • Hands-on experience delivering artificial-intelligence-powered products, including large language models, retrieval-augmented generation, 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 artificial-intelligence/machine-learning systems.
  • Strong people leadership, prioritization, communication, and stakeholder management skills, with the ability to turn ambiguity into clear strategy and measurable outcomes.

Responsibilities

  • Set artificial intelligence and data science strategy across machine learning, natural language processing, search, recommendation, experimentation, and generative artificial intelligence, 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 artificial intelligence and knowledge-discovery systems across the full lifecycle, from experimentation through production, including large language models, retrieval-augmented generation, search, and domain-enriched artificial-intelligence solutions.
  • Drive evaluation and artificial-intelligence quality by establishing robust frameworks, metrics, experimentation practices, and responsible artificial-intelligence 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.

About the Company

RELX

Global information analytics and decision tools

RELX is a global provider of information-based analytics and decision tools for professionals across scientific, technical, medical, legal, risk, business, and exhibitions industries. It operates in four segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions. Its products combine large datasets, analytics, and decision-support tools to help researchers, healthcare professionals, lawyers, and business leaders make informed choices, improve productivity, and achieve better outcomes. Revenue mainly comes from subscriptions, with additional income from transactional sales and advertising. RELX differentiates itself through its deep data assets, specialized industry knowledge, and multi-segment offerings that span content, analytics, and decision-support services. The company pursues a goal of delivering trusted information and insights while supporting corporate responsibility and alignment with the UN SDGs through its products and partnerships.

Company size
1,001-5,000
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1894

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