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📍
San Jose, CA

2026 Intern - Data Scientist

Internship
Creative
Software Eng
December 15, 2025

Adobe

Creative software and digital media solutions
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The Opportunity

Adobe’s Digital Imaging Data Science team is looking for a Summer 2026 Intern to join the Lightroom team!

In this role, you will collaborate with product managers, product marketing managers, and software engineers. You will use product usage data to derive insights and help lay the foundation for robust and reliable data-centric decision-making. You will have the opportunity to focus on new and intriguing initiatives spanning product analytics, product-led growth, go-to-market, data engineering, and more.

The ideal candidate demonstrates proficiency in statistical analysis, tells compelling stories with data, and exhibits a passion for helping professional photographers and photo enthusiasts make amazing photos.

All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.

What You’ll Do

· Extract and analyze large-scale product data to uncover patterns and trends.

· Build dashboards and reports that deliver meaningful insights to business leaders.

· Develop scripts and automation tools to streamline data extraction and transformation.

· Contribute to the development of tools that enhance team productivity and insight generation.

What You Need to Succeed

· Currently enrolled full-time and pursuing a Master’s in Statistics, Mathematics, Engineering, or similar with an expected graduation date of December 2026 - June 2027.

· Solid understanding of SQL and R/Python.

· Knowledge of statistical modeling, experimental design, machine learning, and data mining.

· Ability to apply techniques such as hypothesis testing, time series forecasting, unsupervised learning, and linear regression.

· Ability to participate in a full-time internship between May and September.

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