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

Join the Strategic Planning and Analytics team within Adobe’s DX & Corporate Finance Function! As part of a close-knit team of four, you will play a crucial role in helping to modernizing the finance function through predictive analytics, focused on accelerating time to insights and impact while maintaining the highest standards of accuracy.

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

• Data Collection and Analysis: Gather, analyze, and summarize data from multiple sources to support predictive model training.
• Model Training: Apply the prepared data to train AI/ML models in efforts to increase predictive accuracy and build comprehensive modeling approaches.
• Model Governance: Develop and implement a program to maintain and govern existing and future models, ensuring they meet the highest standards of accuracy and reliability.
• Collaboration: Work closely with cross-functional teams to successfully implement predictive models into financial processes.
• Reporting: Build detailed reports and visualizations to communicate findings and model performance to collaborators.
• Continuous Improvement: Find opportunities for process improvements and contribute to the ongoing enhancement of the predictive modeling framework.
• Ad-hoc value add analysis if and when required

What You Need to Succeed

• Currently enrolled full time and pursuing a Bachelor’s degree in Data Science, Statistics, Finance, or a Related Field with an expected graduation date of December 2025 – June 2026
• Ability to participate in a full time internship between May-August/September 2025
• Strong proficiency in statistical analysis, data mining, and predictive modeling techniques
• Proficiency in using data analysis tools such as Python, R, SQL, Excel or other data modeling platforms
• Understanding of financial principles and concepts
• Ability to communicate complex data insights in a clear and concise manner
• Proactively approach problem-solving with ambition and a positive attitude.
• Ability to work collaboratively in a team environment

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 $38.00 -- $51.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.

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 [email protected] 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.