Senior Data Scientist: AI, Retrieval & RAG for Science in London

Senior Data Scientist: AI, Retrieval & RAG for Science in London

London Full-Time 55000 - 70000 Β£ / year (est.) No working from home possible
Elsevier

At a Glance

  • Tasks: Design and build advanced AI tools for global research applications.
  • Company: Leading scientific publisher committed to innovation and responsible AI.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on impactful projects.
  • Why this job: Join a team shaping the future of research with cutting-edge AI technology.
  • Qualifications: Experience in AI, NLP, and information retrieval is essential.

The predicted salary is between 55000 - 70000 Β£ per year.

Elsevier is seeking a Data Scientist III to design, build, and evaluate advanced AI capabilities for Leap Space and the Search & AI Platform.

You will work with senior data scientists, engineers, and domain experts to deliver AI-powered research tools used by researchers worldwide.

The role focuses on applied AI, NLP, information retrieval, and LLM-based applications, with opportunities to scale AI-powered workflows and contribute to responsible AI practices.

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Senior Data Scientist: AI, Retrieval & RAG for Science in London employer: Elsevier

At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.

Elsevier

Contact Details:

Elsevier Recruitment Team

We think you need these skills to ace Senior Data Scientist: AI, Retrieval & RAG for Science in London

Applied AI
Natural Language Processing (NLP)
Information Retrieval
Large Language Model (LLM) Applications
AI Workflow Scaling
Collaboration with Domain Experts
Research Tool Development