Data Science & Engineering Intern at Sallie Mae in Newark, DE

  • Company: Sallie Mae
  • Location: Newark, DE
  • Job type: internship
  • Workplace: onsite
  • Posted: 2026-10-29

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Job description

When you join Sallie, you become a champion for all students. Sallie’s Education Services team is a diverse group of growth-obsessed entrepreneurs, data analysts, engineers, and developers with a passion for imagining and building scalable businesses for students and families on their unique journey to-through and immediately after higher education. We’re on a mission to revolutionize how students and their families plan, pay and complete this journey with confidence. Join a team of seekers, challengers and creative thinkers to change the way students plan for their future for the better. Sallie Mae is proud to help Americans aspiring to create the life they want, whether that means helping them make college happen, or something more. Our colleagues across departments and across the country are united in our passion and our customer-first approach. Whether you want to join a growing company, be part of an agile workforce, or gain new skills, you're in the right place. Program Overview: The Sallie Mae Internship program seeks to attract and develop exceptional early talent while adding value to our organization. Our goal is to tie academic learning into a practical business setting while fostering professional and personal growth within a student’s area of focus. Over the course of the summer, interns will gain exposure to senior leaders, attend meetings, work alongside mentors, and receive valuable performance feedback. Position Summary: Would you like to work in an exciting fast-paced start-up place with the backing of a household name company like Sallie Mae to help millions of people meet their educational needs every day? Together, we’re connected by the same drive—to be a champion for all students and help them make smart decisions with confidence. Do more than join something—change something…for students, for future generations, and for the future of education. Our new venture, Sallie, is looking for people like you who will define the future of education services for students and their families in the US. As the first education solutions company, we’re creating products and experiences that help students when they need it most. We’re connecting students to free money for school, providing tools and resources to plan for college, sharing inside advice on campus life, and so much more. Visit https://www.sallie.com/about to learn more about us. Key Responsibilities: The Data Science & Engineering Intern will work with our data team on projects supporting digital marketing, digital products, business analytics, and student lending. Projects may involve contributing to data pipelines, predictive analytics, dashboards, backend development, AI agents, or other data projects that enable our businesses. Responsibilities include: Use SQL and Python to prepare, transform, and analyze data from multiple sources. Work with team members to understand business requirements and translate them into technical solutions. Support the development of data pipelines, analytical solutions, and reporting tools. Contribute to predictive models, time series forecasts, and AI enablement. Investigate data quality issues and validate the logic and results of analyses and data products. Document technical methods and findings and communicate results to nontechnical partners. Use AI-assisted development tools while generating code and validate its outputs. The ideal candidate is curious about both how data systems work and the businesses and products they support. They are comfortable learning unfamiliar tools, asking clarifying questions, and taking responsibility for the accuracy of their work. Education: Currently enrolled in an accredited university pursuing a degree in Data Science, Computer Science, Statistics, Business Analytics, Mathematics, Data Engineering, Artificial Intelligence, or related technical field. Open to undergraduate and graduate level students with expected graduation dates of Dec 2027 - May 2028 Availability: This is a 12-wee

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