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Senior Data Scientist

Job in London, Greater London, W1B, England, UK
Listing for: Elsevier
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, AI Business & Operations
Job Description & How to Apply Below
Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Do you want to build advanced AI that helps researchers discover, understand, and advance science? At Elsevier, data science isn’t about building models for their own sake. It’s about doing science for science: creating intelligent systems that help the global research and healthcare communities make better decisions, uncover trusted insights, and accelerate scientific progress.

We are growing our Data Science organization within Technology, and we are looking for Senior Data Scientists who want to work at the frontier of applied AI — machine learning, natural language processing, large language models, retrieval, reasoning workflows, knowledge discovery, and state-of-the-art generative AI built specifically for science. You will help solve some of the hardest AI problems in the world: building systems that understand scientific language, reason across trusted content, connect ideas across disciplines, and support researchers as they explore the frontiers of knowledge.

You will work with vast, complex, and heterogeneous data — from scientific publications and raw research datasets to biomedical content, citations, metadata, ontologies, taxonomies, knowledge graphs, multilingual content, and domain-specific data across the full spectrum of scientific disciplines. This is AI with purpose: helping researchers advance science, improve health outcomes, and contribute to human progress. About our Team Elsevier is a global information analytics company that helps institutions and professionals progress science, advance healthcare and improve performance for the benefit of humanity.

We serve the research, academic, and clinical communities through the application of technology and analytics to content. Our portfolio of solutions brings together extensive Scientific, Technical and Medical content, powerful analytics, and technologies. We help our corporate customers, R&D professionals, engineers, scientists, and commercial marketing leaders, to innovate and commercialize ideas, products, and processes.

About the Role:

As a Senior Data Scientist at Elsevier, you will develop and deploy advanced AI, machine learning, and LLM-powered solutions that support scientific discovery, research intelligence, and editorial workflows. Working across the full model lifecycle, you will apply techniques such as machine learning, deep learning, RAG, semantic search, agentic AI, and knowledge systems to solve complex business and research challenges. The role requires strong technical expertise, sound judgement in selecting the right AI approach, and close collaboration with engineering, product, research, and domain experts to deliver scalable, reliable, and impactful AI products.

Responsibilities:

You will lead and contribute to high-impact AI and data science initiatives that help people explore, understand, connect, and act on complex scientific information. In this role you will:
Design, develop, and deploy advanced AI, machine learning, NLP, and generative AI solutions, including LLM-powered applications, semantic search, retrieval-augmented generation (RAG), agentic workflows, and scientific knowledge discovery systems.

Build and optimise intelligent research and decision-support capabilities using embeddings, retrieval pipelines, prompt engineering, knowledge graphs, ontologies, citation networks, and domain-specific scientific content.

Establish robust evaluation, experimentation, and monitoring frameworks for AI and search systems, covering relevance, grounding, hallucination detection, model performance, reliability, scalability, cost, and user impact.

Collaborate with engineering, product, and research teams to…
Position Requirements
10+ Years work experience
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