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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 ecosystem. 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 decisions. 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 impact.

Responsibilities

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

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.

Skills

Machine Learning
NLP
Retrieval Systems
Generative AI
Large Language Models (LLMs)
Prompt Engineering
RAG Systems
Semantic Search
Vector Retrieval
Embeddings
Ranking
Recommendation Solutions
Python
PyTorch
TensorFlow
Hugging Face
LangChain
LangGraph
Knowledge Graphs
Ontologies
Taxonomies
Citations
Metadata
Statistical Analysis
Performance Measurement

Location

Work Type

Full-time

Experience Level

Senior

Salary/Compensations

$95,300 - $158,800 (U.S. National Base Pay Range)
$100,100 - $166,800 (Maryland)
$104,800 - $174,700 (New York)
$114,300 - $190,500 (New York City)
$95,300 - $158,800 (Rochester, NY)
$112,574 - $179,826 (New Jersey)

Benefits

Eligible for an annual incentive bonus
Country specific benefits

About the Company

RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company.
Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Equal Opportunity

Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers: EEO Know Your Rights.