2025 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 The Opportunity The Adobe Digital Imaging 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 • Leverage data to improve Adobe's flagship creative products and unlock the creative potential of millions of digital artists, designers, illustrators, photographers and communicators • Apply cutting-edge ML algorithms to enable personalized and contextualized in-product experiences, owning the end-to-end process from proof-of-concept to production • Collaborate with research, design, product management and engineering to solve business challenges and enable data-driven decisions by providing timely and actionable product insights • Influence Adobe product leadership and set the industry standard for AI-enhanced creativity, bringing together innovation, empathy for customers, and adherence to Adobe's ethical principles What You Need to Succeed • Currently enrolled full-time and pursuing a Master's or PhD in Computer Science, Data Science, Human-Computer Interaction or a related field; or equivalent experience required • An expected graduation date of December 2025 - June 2026 • Solid understanding of SQL and Python • Strong quantitative background, with a minimum expertise in probability theory, and statistical inference. • Understanding of machine learning concepts and a track record solving problems with these methods • Passion and empathy for creative individuals in an industry undergoing transformation due to AI advances • 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 accommodationsadobe.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.