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.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonmachine learningNLPdata analysisdata analysis toolsscikit-learnTensorFlowPyTorchHuggingFace TransformersBeautifulSoup

Soft Skills

collaborationcommunicationanalytical skillsproblem-solvingeagerness to learn