Senior Data Scientist

RELX

Senior Data Scientist focused on designing and deploying AI solutions for scientific discovery at Elsevier. Collaborating across teams to drive AI projects improving knowledge access and insights.

Posted 6/12/2026full-timePhiladelphia • Maryland, Massachusetts, Pennsylvania • 🇺🇸 United StatesSenior💰 $95,300 - $158,800 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions that support scientific discovery and knowledge exploration
Build and optimize LLM-powered applications, including question answering, literature summarization, semantic search, research insight generation, and evidence-grounded AI experiences
Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly content
Create intelligent capabilities for search, ranking, recommendation, entity extraction, classification, enrichment, and decision support
Design evaluation frameworks that measure quality, relevance, reliability, grounding, trustworthiness, and user impact
Integrate knowledge graphs, ontologies, taxonomies, citations, metadata, and scientific domain knowledge into AI workflows
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 initiatives
Mentor fellow data scientists and contribute to a culture of technical excellence, experimentation, and responsible AI
Collaborate closely with Product, Engineering, Research, Editorial, UX, and domain experts to solve complex scientific and business challenges

Requirements

What you’ll need

Significant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, Statistics, Computer Science, or a related quantitative discipline
Advanced expertise in developing and deploying machine learning, NLP, retrieval, and generative AI solutions in production environments
Experience working with modern LLMs, prompt engineering, model evaluation, retrieval systems, and AI-powered workflows
Extensive Python programming skills and a track record of building maintainable, production-quality software
Experience designing and implementing RAG systems, semantic search, vector retrieval, embeddings, ranking, or recommendation solutions
Deep understanding of machine learning fundamentals, experimentation, model evaluation, statistical analysis, and performance measurement
Experience with modern AI and ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, or equivalent technologies
Experience working with large-scale structured, semi-structured, and unstructured datasets, particularly text-rich or content-heavy data
A passion for advancing science, expanding access to knowledge, and building AI systems that create meaningful real-world impact.

Benefits

Comp & perks

Country specific benefits
Annual incentive bonus

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningnatural language processinginformation retrievaldata sciencePythonRAG systemssemantic searchmodel evaluationstatistical analysisAI workflows

Soft Skills

mentoringcollaborationtechnical excellenceexperimentationinfluencing solution architectureguiding methodological decisions