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About the Role

As a Data Scientist at Elsevier, you will design, develop, and deploy AI and machine learning solutions that power knowledge discovery across the global research ecosystem. You will work with one of the world's richest collections of scientific information, including publications, citations, research datasets, metadata, ontologies, knowledge graphs, and multidisciplinary content spanning every scientific field. This role combines cutting-edge AI with meaningful impact. You will help build intelligent systems that make scientific knowledge more discoverable, trustworthy, connected, and actionable.

Responsibilities

• Design and deploy machine learning, NLP, and generative AI solutions that help researchers discover, understand, and apply scientific knowledge.
• Build intelligent retrieval, search, recommendation, ranking, and question-answering systems that improve research outcomes.
• Develop AI systems that connect information across publications, datasets, citations, knowledge graphs, and scientific ontologies.
• Fine-tune, evaluate, and integrate large language models and retrieval-augmented generation (RAG) systems into production environments.
• Create robust evaluation frameworks that measure quality, reliability, relevance, trustworthiness, and user impact.
• Build scalable data pipelines and machine learning workflows that support experimentation, monitoring, and continuous improvement.
• Apply the appropriate combination of classical machine learning, deep learning, retrieval, and generative AI techniques to solve complex scientific problems.
• Collaborate with engineering, product, UX, analytics, and domain experts to transform ambiguous challenges into practical solutions.
• Contribute clean, maintainable, production-quality Python code and reusable AI components.
• Continuously improve the capabilities, performance, and real-world value of AI systems that support scientific discovery.

Requirements

• Extensive Python programming skills and experience building production-quality data science solutions.
• Experience with machine learning fundamentals, including model development, evaluation, feature engineering, and performance optimization.
• Experience working with large-scale structured, semi-structured, or unstructured datasets.
• Hands-on experience with modern AI technologies, including large language models, embeddings, retrieval systems, and generative AI.
• Experience evaluating AI outputs and improving model quality, reliability, and business impact.
• Ability to translate complex problems into measurable, data-driven solutions.
• A genuine passion for advancing science, improving access to knowledge, and using AI to create meaningful real-world impact.

Skills

• Machine Learning
• NLP
• Generative AI
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Python
• Scikit-learn
• PyTorch
• TensorFlow
• Hugging Face

Location

• USA

Work Type

• Full-time

Experience Level

• Extensive Python programming skills
• Experience with machine learning fundamentals
• Experience working with large-scale datasets
• Hands-on experience with modern AI technologies

Education Level

• Degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.

Salary/Compensations

• U.S. National Base Pay Range: $86,600 - $144,400
• Maryland: $90,900 - $151,700
• New York: $95,300 - $158,900
• New York City: $103,900 - $173,300
• Rochester, NY: $86,600 - $144,400
• New Jersey: $102,333 - $163,467

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.
• 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.
• We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.