Intern

Job ID 2026-1641

Data Analysis France

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Description

Position at WebMD

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

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