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# Data Scientist

- **Company:** RELX Group plc
- **Location:** Cape Saint Claire, MD, United States
- **Salary:** $86,600.0 - $144,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Graph Database, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Unstructured Data, Feature Engineering, Pytorch, Large Language Models, Deep Learning, Generative AI, Scikit Learn, Information Technology, HuggingFace, Data Analytics, Machine Learning Operations, Data Pipelines
- **Published:** October 26, 2026
- **Apply:** https://www.adzuna.com/details/5761855952

## About the Role

AI systems that support scientific discovery. What We're Looking For + Degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline. + 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. + Familiarity with frameworks such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, or equivalent tools. + Experience evaluating AI outputs and improving model quality, reliability, and business impact. + Ability to translate complex problems into measurable, data-driven solutions. +

## Description

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