2026 Intern - Data Scientist

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

 

Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands— everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.

The Opportunity
The Adobe Data Science team is looking for summer interns. The team applies AI and machine learning techniques to big customer data to address and challenge business problems, such as driving go-to-market strategies, sales prioritization, increasing product engagement and customer service improvement.

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 data to understand the customer product life cycle and value realization from the product

• Identify and report product features of high and low usage

• Develop dashboards/reports that provide useful insights to business leaders

• Develop scripts to automate data extraction from product databases

• Develop in-house analytical tools that improve the productivity and efficiency of analytical tasks

What You Need to Succeed

• Currently enrolled full-time in a Master’s or PhD program in Computer Science, Electrical/Computer Engineering, Statistics, or a related quantitative field, with an expected graduation date between December 2026 – June 2027.

• Strong foundation in mathematics and statistics (e.g., linear algebra, probability, optimization, statistical inference).

• Proficiency in Python for data science and machine learning, with experience using frameworks such as PyTorch, TensorFlow, or JAX.

• Solid working knowledge of SQL for data extraction, preparation, and validation.

• Familiarity with advanced ML/AI techniques such as deep learning, transformers/LLMs, graph neural networks, or causal inference.

• Ability to design and conduct experiments, analyze results, and translate findings into practical, scalable solutions.

• Strong problem-solving mindset and curiosity to explore novel approaches to real-world challenges.

• Ability to participate in a full-time internship between May–September.

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window