People Data Scientist Intern (May 2026)

Join Adobe as a People Data Scientist Intern to develop AI-powered tools and conduct user research in a hybrid work environment.

Your Role

Here’s what you will be doing:

• Contribute to the technical implementation of conversational AI tools, workflows, and automation
• Work with large language models (LLMs) and agent frameworks to create solutions that make people data more accessible
• Design and conduct user testing sessions to evaluate AI tool effectiveness and usability
• Observe and document how end users interact with AI agents, identifying friction points and opportunities
• Gather qualitative and quantitative feedback on user experience with AI tools
• Synthesize findings into actionable insights and recommendations for product and enablement improvements

About You

The company is looking for:

• Currently enrolled full-time pursuing a Masters or PhD degree in Industrial Organizational Psychology, Cognitive Science, Data Science, Human-Computer Interaction, or related field; or equivalent degree with expected graduation between December 2026 and June 2027
• Ability to participate in a full-time internship between May and September
• Proficiency in Python or R, and SQL
• Familiarity with large language models (LLMs) and agentic AI
• HR relevant domain expertise such as employee experience, surveys, performance, or selection
• Strong interest in user experience and human-centered design principles
• Excellent communication skills with ability to translate technical concepts for non-technical audiences
• Comfortable switching between technical development work and user-facing research activities

Compensation & Benefits

• Hourly pay range of $45.00 to $55.00 depending on U.S. geographic market
• Co-located hybrid work model with time split between assigned office and home

How to Apply

Application details and pay rate specifics will be shared by the recruiter during the hiring process.

This job may close before the stated closing date, you are encouraged to apply as soon as possible

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