
Intern
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Overview
Job Description
WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
About the Role:
WebMD/Medscape is one of the world's leading platforms for medical information and professional healthcare content.
The intern will sit at the intersection of data analysis and data science, contributing to the evaluation and improvement of our AI-based pipelines. She or he will conduct meaningful analyses on real production data, support product journey teams with data-driven insights, and contribute to the development of internal AI-powered tools - while getting hands-on experience with the tools and workflows used in modern data and tech Agile teams.
The goal is for her to own a small end-to-end project over the 2 months, from exploration to delivery.
Main Responsibilities:
Support journey teams with real-time data analysis, helping them make faster and more informed product decisions
Contribute to the design and development of internal AI-powered tools to improve team efficiency and data accessibility
Build and maintain a small autonomous project (e.g. evaluation dashboard, data pipeline, or reporting tool) from start to finish
Write clean, documented, and versioned code following team standards
Skills & Profile:
Currently enrolled in an engineering, data science, or applied mathematics program (Bac+2/Bac+3)
Interest in both data analysis (exploration, visualization, insight generation) and data science (Python, pipelines, ML concepts)
Familiarity or willingness to learn: Python, SQL, Git/Gitlab, CI/CD basics
Comfortable working in English (international team and content)
Curious, rigorous, and autonomous
What She or He Will Learn:
How a production AI/NLP system works in a tech company
Get familiar with the Agile process and approach in tech
The full data-to-insight workflow: from raw data to actionable product recommendations
How to build and ship internal AI-powered tools in a professional environment
Developer best practices: code versioning, CI/CD, collaborative workflows
Working in an international, cross-functional product and data team
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
