How you'll help us Keep Climbing (overview & key responsibilities) Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability, and customer experience. Powered by our employees around the world, Delta leads the airline industry in operational excellence while maintaining our reputation for award-winning customer service. In alignment with that level of excellence, the **Operations Research Data Science team** is responsible for building models to support various functions across the airline, including Revenue Management, Cargo, Customer Experience, and Tech Ops **.** **Internroles** at Delta IT offer a chance to become part of our journey to make technology a competitive advantage for the company. Join us to help accelerate our IT transformation to continue leading the industry as we change the way we work. We embrace new technology and ideas to create meaningful and innovative solutions that help Delta better connect the world. Delta IT employees are thinkers, doers, and innovators. We are proactive, collaborative and deliver impact to our customers. If this sounds like you, _and you are interested inworking full time for Delta after graduation if an offer is extended_ , apply to join our team as an **IT Summer Intern** ! **Thisposition is based in Atlanta, GA.** As a Data Science Intern, you will query airline data from multiple sources and perform exploratory data analysis. You will write Python scripts and build models to predict behaviors and recommend airline actions. The Data Science Intern must be able to work independently yet be eager to seek advice and ask questions. You must work with urgency, especially due to the short nature of the internship. At the end of the summer, you will provide a summary of your work to Operations Research and Business leaders. What you need to succeed (minimum qualifications) · Have a **3.0 GPA** or higher and have completed **at least 2 years** **in a college program** . Degree emphasis should be in Data Science, Data Analytics/Operations Research, Computer Science, Engineering, or a related field · **Beable to commit to work the entire summer internship program, May 11- August 7,2026 (13 weeks)** · **Be willing to work from the Atlantaoffice.** Most teams work a partially onsite / partially remote (hybrid) work schedule with management approval. · **Have Python and SQL knowledge and skills** · Ideal candidates have strong analytical, leadership, written and verbal communication skills · Embrace diverse people, thinking and styles · Consistently make safety and security, of self and others, a priority · Have an interest in solving complex problems and investing the time and energy to overcome roadblocks and learn from mistakes · Have an interest in working as a full time employee after graduation if an offer is extended What will give you a competitive edge (preferred qualifications) · Ability to digest large amounts of data and information and succinctly explain what can be learned from the data and how it can support decision making · Desire to learn leadership techniques and best practices in problem solving and conflict resolution to enable innovation and progress on difficult to solve challenges of our customers · Experience with AWS · Experience developing Machine Learning models **AdditionalBest Practices** In this role you should be willing to learn different approaches to resolving problems, be flexible, able to handle shifting priorities, be results driven, and be receptive to being mentored to grow and improve. Benefits and Perks to Help You Keep Climbing Delta Air Lines, Inc. is an Equal Employment Opportunity / Affirmative Action employer and provides reasonable accommodation in its application process for qualified individuals with disabilities and disabled veterans. If you are a qualified individual, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings through this site, apply for jobs through Delta's online system, or at any point in the selection process. To request a reasonable accommodation, please click here