2025 Intern - Data Science

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 2025 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 data to gain insights into customer journeys across the financial funnel

· Conduct exploratory analysis on customer data to understand their interactions with our products and how they move through their lifecycle

· Develop propensity models to quantify their likelihood of conversion, engagement and churn

· Investigate opportunities to proactively engage with customers at the risk of switching, using data insights to inform intervention strategies

· Conduct market-specific opportunity sizing to build lookalike models for evaluating performance

What You Need to Succeed

· Currently enrolled full time and pursuing a Master’s in Statistics, Mathematics, or Engineering is desired; or equivalent experience required with an expected graduation date of December 2025 – June 2026

· Solid understanding of SQL and R/Python

· Strong analytics skills to articulate key business and financial data to help explain business impact

· Understanding of statistical modeling/machine learning/ data exploratory concepts, and a track record solving problems with these methods.

· Ability to apply statistical/machine learning techniques such as hypothesis testing, time series forecasting, linear and logistic regression, random forests, etc.

· 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 -- $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.

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

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.