Data Science Team Lead, Search & Evaluation

Elsevier

London, United Kingdom
Hybrid
Lexical search expertise
Vector retrieval system design
Retrieval-augmented generation (rag)
Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics

Job Summary

  • Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics.
  • This role leads a team advancing retrieval systems and evaluation frameworks that power discovery experiences for millions of users across research and health domains.
  • The company promotes a healthy work/life balance with flexible working hours, comprehensive benefits, and a culture of innovation and collaboration.

Matching Summary

Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics.

Skills & Requirements

Must-have

  • lexical search expertise
  • vector retrieval system design
  • retrieval-augmented generation (RAG)
  • Python programming proficiency
  • evaluation framework development
  • AI-driven retrieval and evaluation
  • team leadership in data science

Nice-to-have

  • deployment of retrieval-enhanced LLMs
  • familiarity with scientific ontologies
  • stakeholder management skills
  • experience in academic publishing
  • cross-functional collaboration
  • rigorous experimentation culture
  • ethical AI evaluation

Key Requirements

  • PhD or MSc in Computer Science or related field
  • 6+ years experience in search or retrieval systems
  • 2+ years in leadership or senior technical role
  • strong programming skills in Python
  • experience with PyTorch and Hugging Face
  • proven record in evaluation framework delivery

Work Rights

Not specified

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