Data Science & Engineering Intern

Sallie Mae•Newark, DE

9d•Hybrid

About The Position

Sallie’s Education Services team builds scalable businesses and products for students and families planning, paying for, and completing higher education. The Data Science & Engineering Intern will work with the data team on projects supporting digital marketing, digital products, business analytics, and student lending. Projects may include data pipelines, predictive analytics, dashboards, backend development, AI agents, and other data initiatives that enable the business. This 12-week paid summer internship is designed to connect academic learning with practical business experience and support students’ professional and personal growth. Interns will work alongside mentors, attend meetings, gain exposure to senior leaders, and receive performance feedback. The role follows a flexible hybrid arrangement, with an expectation to work in the office three days per week at either the Newark, Delaware or Arlington, Virginia office. The internship runs June 7, 2027 through August 28, 2027, with a 40-hour work week.

Requirements

Currently enrolled in an accredited university pursuing a degree in Data Science, Computer Science, Statistics, Business Analytics, Mathematics, Data Engineering, Artificial Intelligence, or a related technical field.
Expected graduation date between December 2027 and May 2028; open to undergraduate and graduate students.
Experience using SQL to query, join, filter, and aggregate data.
Experience using Python for data analysis, machine learning, or artificial intelligence.
Working knowledge of digital marketing measurement, including funnel metrics such as click-through rates, UTM tracking, campaign attribution, and traffic sources.
Ability to explain analytical findings and technology solutions to a nontechnical audience.
Strong attention to detail and communication skills, and willingness to learn.
Availability for the 12-week internship from June 7, 2027 through August 28, 2027 and a 40-hour work week.

Nice To Haves

Experience with a cloud data platform such as Snowflake, Databricks, or AWS.
Experience with version control systems such as GitHub.
Experience analyzing website, paid media, or CRM data from platforms such as Meta, HubSpot, or Salesforce.

Responsibilities

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 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 to generate code and validate their outputs.

Benefits

Competitive base salaries
Bonus incentives
Generous PTO, floating holidays, and 12 federal holidays observed
Support for financial well-being and retirement
401(k) with employer match
Medical, dental, vision, hospital indemnity, critical illness, and pet insurance
Employer-paid short-term and long-term disability and basic life insurance
Flexible hybrid working arrangements
Paid parental leave and adoption reimbursement programs
Access to on-site staffed fitness centers in Delaware and a gym subsidy for locations outside Delaware
Confidential counseling support (EAP), Health Advocacy services, and a wellness program with financial incentives
Tuition reimbursement and family scholarship programs
Career development and training opportunities