Senior Data Scientist — AI for Scientific Discovery

Elsevier; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Elsevier, a global information analytics company, seeks a Senior Data Scientist to develop and deploy AI/ML/NLP solutions that advance scientific discovery and research intelligence. You will work across model lifecycles, employing RAG, semantic search, knowledge systems, and LLM-powered applications to tackle complex scientific challenges.

You will collaborate with engineering, product, and domain experts to deliver scalable, reliable AI products that enhance the global knowledge ecosystem and

Qualifications

• Significant experience applying data science, ML, AI, NLP, information retrieval, and statistical techniques to scalable solutions.
• Advanced degree or equivalent practical expertise in a quantitative field is required.
• Proficiency in Python and modern data science tools; experience with cloud and MLOps is desirable.

Responsibilities

• Design, develop, and deploy AI/ML/NLP solutions including LLM-powered applications and semantic search.
• Build knowledge graphs, embeddings, and retrieval pipelines to support scientific discovery.
• Evaluate, monitor, and improve model relevance, reliability, and user impact.
• Collaborate with engineering, product, and research teams to productionise AI solutions and mentor peers.

Skills

Data science

Machine learning

AI

NLP

Information retrieval

Statistical techniques

Education

Advanced degree

Tools

Python

SQL

Git

Jira

GitHub

GitLab

Job description

Elsevier, a global information analytics company, seeks a Senior Data Scientist to develop and deploy AI/ML/NLP solutions that advance scientific discovery and research intelligence. You will work across model lifecycles, employing RAG, semantic search, knowledge systems, and LLM-powered applications to tackle complex scientific challenges.

You will collaborate with engineering, product, and domain experts to deliver scalable, reliable AI products that enhance the global knowledge ecosystem and