Data Scientist Intern

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Are you passionate about artificial intelligence and eager to gain hands-on experience in a collaborative and innovative environment this summer?

Join our team as a Data Scientist Intern to explore the intersection of technology and law through Artificial Intelligence, Legal Collaboration, and Content Protection!

About Our Team

In this role, you will work with the company's compliance and litigation attorneys on compliance investigations, participate in compliance training development and delivery, assess and develop compliance policies, and manage aspects of an anti-bribery due diligence program.

About The Role

This internship is part of the Rising TIDE program. Elsevier created its Rising TIDE internship program to foster inclusion and provide individuals with work experience in the corporate world so that we can develop a pipeline of talent for entry-level individuals for post-graduation opportunities.

We are looking for a Data Scientist Intern to join our team, working closely with the Legal department and our AI Data Science team to help identify potential copyright violations in third-party applications and AI models. You will support our content protection efforts by analyzing AI systems and applications, testing detection models, and collaborating across teams to detect unauthorized use of Elsevier's copyrighted materials. This is a unique opportunity to gain practical experience at the intersection of technology and law, working alongside some of the most advanced data scientists in the field. You will be heavily involved in projects that protect intellectual property and ensure regulatory compliance, making a meaningful impact on our business and the broader publishing industry.

Location: This is a remote or home-based role, open to various locations in the Eastern and Central time zones. Program Dates: June 1, 2026- August 7, 2026Eligibility: Undergraduate or graduate students expected to graduate by May 2027.How to Apply: Candidates must submit a resume and demonstrate technical work by including one of the following: a link to a portfolio website or GitHub profile, code samples, or relevant academic or personal projects to be included on their resume or cover letter.

Responsibilities

• Collaborate with Legal and AI Data Science teams to address challenges in content protection and compliance.
• Analyze third-party AI models and applications for potential unauthorized use of Elsevier content.
• Support the development and evaluation of AI models for detecting copyright infringements and compliance risks.
• Assist the legal team in preparing technical documentation for compliance cases.
• Analyze datasets, identify patterns, and communicate findings clearly to stakeholders.
• Document issues and suggest improvements to systems and processes.
• Learn best practices and advanced methodologies from experienced team members.

Requirements

• Be currently pursuing a bachelor's or master's degree in computer science, data science, statistics, mathematics, or a related field of study with a graduation date of May 2027.
• Demonstrate proficiency in Python and be familiar with libraries for machine learning, NLP, web scraping, or data analysis (e.g., scikit-learn, TensorFlow, PyTorch, HuggingFace Transformers, BeautifulSoup, Scrapy, pandas).
• Have experience with data analysis tools and techniques.
• Display an interest in legal and compliance topics related to AI and intellectual property (prior experience is a plus, but not required).
• Be able to work collaboratively and communicate effectively within a multidisciplinary team.
• Experience with testing, web scraping tools, APIs, Agile/Scrum, or version control (like GitHub) is advantageous, but not required.
• Display solid analytical skills and a structured approach to problem-solving.
• Eager to learn and contribute in a supportive environment.

About The Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for