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RELX

Global information analytics and decision tools

Senior Data Scientist 2

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeMexico City, CDMX, MexicoNo salary listedIn-person

About the Job

Requirements

  • Two to five years of experience in data scientist or similar roles.
  • At least one year of hands-on experience building retrieval-augmented generation applications and agentic AI systems.
  • Ability to design and explain end-to-end AI solution architectures, including data ingestion, retrieval, generation, and evaluation components.
  • Strong proficiency in Python, modern AI frameworks such as LangChain and Google ADK, cloud-based development, and software engineering best practices for production AI systems.
  • Experience with natural language processing, document processing, search, recommendation systems, or related information retrieval problems.
  • Familiarity with embeddings, vector search, and retrieval mechanisms.
  • Ability to evaluate AI system performance and diagnose issues related to answer quality, retrieval, hallucinations, or model behavior.
  • Experience implementing agentic workflows and multi-agent architectures.
  • Ability to work closely with Product and stakeholders to understand business needs, gather requirements, and translate them into scalable AI solutions.
  • Strong English communication skills, including the ability to explain technical concepts to different audiences.

Responsibilities

  • Lead the end-to-end lifecycle of AI projects using large language models, retrieval-augmented generation architectures, and agentic workflows, from problem definition and experimentation through deployment, evaluation, and continuous improvement.
  • Monitor, evaluate, and optimize AI system performance using metrics, user feedback, and experimentation frameworks.
  • Partner with product managers, domain experts, and stakeholders to prioritize opportunities while communicating results and tradeoffs.
  • Contribute directly to software development as an individual contributor.
  • Design and implement scalable AI solution architectures, including data ingestion, retrieval, generation, and evaluation components.
  • Build and enhance retrieval-augmented generation-based applications and AI-powered products.
  • Collaborate across teams to identify and solve complex information retrieval and natural language processing challenges.
  • Support continuous improvement of AI systems through experimentation, testing, and performance analysis.

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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