Senior Data Scientist

About the role

Senior Data Scientist

What if your next AI model could help accelerate a medical breakthrough, uncover a critical scientific insight, or help researchers solve some of humanity's greatest challenges

?At Elsevier, data science is about far more than algorithms and model performance. It is about applying advanced AI to help researchers, clinicians, educators, and institutions discover knowledge, assess evidence, generate insights, and advance science for the benefit of society

.Every day, millions of researchers rely on our products to navigate an ever-growing universe of scientific information. As a Senior Data Scientist, you will help build the intelligent systems that make scientific knowledge more discoverable, trustworthy, connected, and actionable

.This is AI with purpose. This is technology in service of scientific progress

.

About the Role; As a Senior Data Scientist, you will design, build, evaluate, and scale advanced AI solutions that power scientific discovery, research intelligence, knowledge enrichment, and decision support across the global research ecosyst

em.You will work on some of the most challenging problems in applied AI, combining machine learning, natural language processing, large language models, retrieval systems, knowledge graphs, and generative AI to help researchers uncover insights faster and make better decisio

ns.Success in this role requires deep technical expertise, sound judgment, scientific rigor, and the ability to transform complex problems into trusted, production-ready AI solutions that create measurable impa

ct.

About the team; As part of a growing team of Data Scientists, you will take on some of the hardest problems in science. This team is building intelligent systems that can reason across scientific publications, research data, knowledge graphs, ontologies, metadata, taxonomies, citations, and content spanning every scientific discip

line

What You

'll DoDesign, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions that support scientific discovery and knowledge explor

ation.Build and optimize LLM-powered applications, including question answering, literature summarization, semantic search, research insight generation, and evidence-grounded AI experi

ences.Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly co

ntent.Create intelligent capabilities for search, ranking, recommendation, entity extraction, classification, enrichment, and decision su

pport.Design evaluation frameworks that measure quality, relevance, reliability, grounding, trustworthiness, and user i

mpact.Integrate knowledge graphs, ontologies, taxonomies, citations, metadata, and scientific domain knowledge into AI work

flows.Partner with engineering teams to produce, monitor, optimize, and continuously improve AI systems at

scale.Lead technical discovery, influence solution architecture, and guide methodological decisions across initia

tives.Mentor fellow data scientists and contribute to a culture of technical excellence, experimentation, and responsib

le AI.Collaborate closely with Product, Engineering, Research, Editorial, UX, and domain experts to solve complex scientific and business chall

enges.

What We're Look

ing ForSignificant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, Statistics, Computer Science, or a related quantitative disc

ipline.Advanced expertise in developing and deploying machine learning, NLP, retrieval, and generative AI solutions in production enviro

nments.Experience working with modern LLMs, prompt engineering, model evaluation, retrieval systems, and AI-powered wor

kflows.Extensive Python programming skills and a track record of building maintainable, production-quality so

ftware.Experience designing and implementing RAG systems, semantic search, vector retrieval, embeddings, ranking, or recommendation sol

utions.Deep understanding of machine learning fundamentals, experimentation, model evaluation, statistical analysis, and performance measu

rement.Experience with modern AI and ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, or equivalent techno

logies.Experience working with large-scale structured, semi-structured, and unstructured datasets, particularly text-rich or content-heav

y data.A passion for advancing science, expanding access to knowledge, and building AI systems that create meaningful real-world

impact.

Why Join

ElsevierBecause your work wil

l matter.You will help build AI systems that enable researchers to discover knowledge faster, uncover hidden connections, assess evidence more effectively, and accelerate scientific progress around t

he world.You will have the opport

unity to:Solve some of the most challenging AI problems in science and knowledge d

iscovery.Work with one of the world's richest collections of scientific, biomedical, and schola

rly data.Build next-generation AI systems using LLMs, retrieval, knowledge graphs, semantic search, and gener

ative AI.Create trusted technologies that support researchers, clinicians, educators, institutions, and innovators w

orldwide.Influence how AI is designed, evaluated, governed, and trusted in high-impact scientific envi

ronments.Collaborate with exceptional colleagues across data science, engineering, product, research, editorial, and domain e

xpertise.Mentor others while helping shape the future of AI-powered scientific d

iscovery.Contribute directly to a mission dedicated to advancing science, improving health outcomes, and expanding human k

nowledge.