Senior Data Scientist I - AI, NLP and Generative AI

About the role

Elsevier is looking for a Senior Data Scientist I in Mexico City (Reforma) to design and deliver advanced AI, NLP and generative AI solutions that power knowledge discovery and decision support. The role works with complex scientific data, applying modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact, and collaborates across teams to turn complex challenges into production-ready solutions. It is a hybrid position with flexible hours.

Key responsibilities

• Design, build and evaluate advanced AI/ML, NLP and generative AI solutions for scientific and knowledge-discovery applications.
• Develop LLM-powered workflows and retrieval-augmented generation (RAG) 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 AI techniques.
• Integrate scientific metadata, ontologies, taxonomies and knowledge assets into scalable AI workflows.
• Establish 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.

Required profile

• Practical experience in data science, AI, machine learning, NLP, information retrieval or a related quantitative field.
• Strong hands-on experience building AI/ML, NLP, generative AI and retrieval-based systems in applied or product-focused environments.
• Experience with large-scale text or content-rich datasets and modern AI/ML frameworks.
• Familiarity with cloud platforms and modern software engineering practices.
• Strong communication, collaboration and mentoring skills.

Required skills

• Expertise with LLMs, including fine-tuning, prompt engineering, grounding strategies and responsible AI practices.
• Strong Python skills and solid machine learning fundamentals.
• RAG, semantic, vector or hybrid search, and experimentation and evaluation approaches that measure user impact.

What we offer

• Private medical, dental and vision plan, savings fund with company matching, life insurance, grocery voucher and vacation bonus.
• Discount card for minor medical expenses, learning and development resources and an Employee Assistance Programme.
• Awards for service milestones, time off for charity causes, and a hybrid work model with flexible hours.