Senior AI Scientist – NLP, LLMs & RAG for Discovery

LexisNexis Risk Solutions; Philadelphia (Philadelphia County); Hybrid; MXN 1,950,000 - 3,249,000; Full time

Benefits offered by this job

Wellbeing initiatives

Shared parental leave

Study assistance

Sabbaticals

Job summary

Elsevier is seeking a Senior Data Scientist to design advanced AI, NLP, and generative AI solutions for knowledge discovery and decision support. You will work with large-scale scientific data, applying modern ML and LLM-based methods to deliver scalable, production-ready systems with real user impact.

Collaborate across teams to translate complex challenges into reliable, deployable workflows. The role emphasizes mentorship, robust evaluation, and end-to-end delivery in a dynamic, global

Qualifications

• Practical experience in data science, AI, ML, 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.
• Expertise with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices.
• Strong Python skills and solid machine learning fundamentals.
• Experience with large-scale text or content-rich datasets and modern AI/ML frameworks.
• Experience with RAG, semantic, vector, or hybrid search with 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 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 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.

Skills

Data science

AI/ML

NLP

LLMs

Python

Information retrieval

Cloud platforms

Mentoring

Tools

PyTorch

TensorFlow

Job description

Elsevier is seeking a Senior Data Scientist to design advanced AI, NLP, and generative AI solutions for knowledge discovery and decision support. You will work with large-scale scientific data, applying modern ML and LLM-based methods to deliver scalable, production-ready systems with real user impact.

Collaborate across teams to translate complex challenges into reliable, deployable workflows. The role emphasizes mentorship, robust evaluation, and end-to-end delivery in a dynamic, global