Data Scientist — AI for Scientific Discovery

RELX; Philadelphia (Philadelphia County); On-site; USD 90,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) or equivalent

Job summary

Elsevier is seeking a Data Scientist to design, develop, and deploy AI and ML solutions that power knowledge discovery across the global research ecosystem. You will work with an extensive collection of publications, datasets, metadata, and knowledge graphs to drive scientific progress.

You will collaborate with cross-functional teams to build production-grade AI systems, fine-tune LLMs, and evaluate model performance while ensuring trustworthiness and impact.

Qualifications

• Degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Statistics, applied mathematics, or related field.
• 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.
• A genuine passion for advancing science and using AI to create real-world impact.

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 ontologies.
• Fine-tune, evaluate, and integrate large language models and retrieval-augmented generation into production environments.
• Create robust evaluation frameworks that measure quality, reliability, relevance, trustworthiness, and user impact.
• Build scalable data pipelines and ML workflows for experimentation, monitoring, and improvement.
• Collaborate with engineering, product, UX, analytics, and domain experts to solve ambiguous challenges.
• Contribute clean, maintainable, production-quality Python code and reusable AI components.
• Continuously improve capabilities and real-world value of AI systems supporting scientific discovery.

Skills

Python programming

ML fundamentals

Datasets handling

AI technologies

Scikit-learn

PyTorch

TensorFlow

Hugging Face

Model evaluation

Problem translation

Education

Degree in Data Science or related

Tools

PyTorch

TensorFlow

Scikit-learn

Hugging Face

Job description

Elsevier is seeking a Data Scientist to design, develop, and deploy AI and ML solutions that power knowledge discovery across the global research ecosystem. You will work with an extensive collection of publications, datasets, metadata, and knowledge graphs to drive scientific progress.

You will collaborate with cross-functional teams to build production-grade AI systems, fine-tune LLMs, and evaluate model performance while ensuring trustworthiness and impact.