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RELX

Global information analytics and decision tools

Senior Data Scientist 1

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeMexico City, CDMX, Mexico$115.4k - $192.3k

About the Job

Requirements

  • Practical experience in data science, artificial intelligence, machine learning, natural language processing, information retrieval, or a related quantitative field.
  • Strong hands-on experience building artificial intelligence and machine learning, natural language processing, generative artificial intelligence, and retrieval-based systems in applied or product-focused environments.
  • Expertise working with large language models, including fine-tuning, prompt engineering, grounding strategies, and responsible artificial intelligence practices.
  • Strong Python skills and solid machine learning fundamentals.
  • Experience working with large-scale text or content-rich datasets and modern artificial intelligence and machine learning frameworks.
  • Experience with retrieval-augmented generation, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact.
  • Familiarity with cloud platforms and modern software engineering practices.
  • Strong communication, collaboration, and mentoring skills.

Responsibilities

  • Design, build, and evaluate advanced artificial intelligence and machine learning, natural language processing, and generative artificial intelligence solutions for scientific and knowledge-discovery applications.
  • Develop large language model-powered workflows and retrieval-augmented generation systems for search, summarization, question answering, and evidence-grounded insight generation.
  • Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and artificial intelligence techniques.
  • Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable artificial intelligence workflows.
  • Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability.
  • Write production-ready Python code and partner with engineering teams to deploy solutions at scale.
  • Provide technical leadership and mentoring to support high-quality delivery and continuous improvement.

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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