Data Science and Engineering Intern
Employment type
Full-time
Work setting
On-site
Location
Newark, DE
Schedule
Day shift
Posted
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Job overview
The Data Science and Engineering Intern role is hybrid, with a flexible three-day-per-week in-office policy and work locations in Newark, DE or Arlington, VA. Compensation is described as a paid internship, but no numeric amount is specified. The intern supports Sallie’s Education Services team and its work building services for students and families. The intern contributes to data and engineering projects that support digital marketing, digital products, business analytics, and student lending. By preparing and analyzing data, supporting pipelines and reporting tools, and validating analytical outputs, the role helps teams make informed product and business decisions.
What you'll do
- Use SQL and Python to prepare, transform, and analyze data from multiple sources
- translate business requirements into technical solutions with team members
- support data pipelines, analytical solutions, and reporting tools
- contribute to predictive models, time-series forecasts, and AI enablement
- investigate data-quality issues and validate analyses and data products
- document methods and findings
- use AI-assisted development tools and validate their outputs.
What we're looking for
- Skills & competencies
- data science and engineering interndata sciencedata engineeringsqlpythonpredictive analyticsdata pipelinesai enablementhybridnewark dearlington vasallie mae
- Work arrangement
- Weekend coverage required
Benefits & perks
- Paid 12-week internship
- internship program includes exposure to senior leaders, meetings, mentors, and performance feedback.
Why this role
12-week paid internship scheduled June 7–August 28, 2027, with a 40-hour work week; applicants must be enrolled in a relevant university degree program with expected graduation between December 2027 and May 2028.
About the employer
Sallie Mae is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Occupation code
- 99-9999.99
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Listing ID: 4d474a55-9926-44a4-bf3e-732187f0be5b