Data Science & Engineering Intern

Sallie Mae•Arlington, VA

1d•Hybrid

About The Position

The Data Science & Engineering Intern works with Sallie’s 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 projects that support the business. The role combines academic learning with practical business work and provides exposure to senior leaders, meetings, mentors, and performance feedback. The intern prepares, transforms, and analyzes data from multiple sources; collaborates with team members to translate business requirements into technical solutions; and supports development of pipelines, analytical solutions, and reporting tools. The intern may contribute to predictive models, time-series forecasts, and AI enablement, investigate data quality issues, validate analysis and data-product results, document methods and findings, and communicate results to nontechnical partners. The internship is paid, lasts 12 weeks, and requires a 40-hour work week from June 7, 2027, through August 28, 2027. Sallie follows a flexible three-day-per-week in-office policy, with work possible from the Newark, Delaware, or Arlington, Virginia, offices.

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.
Open to undergraduate and graduate students with expected graduation dates from December 2027 through May 2028.
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, communication skills, and willingness to learn.

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 while generating code and validate their outputs.

Benefits

Competitive base salaries
Bonus incentives
Generous paid time off, floating holidays, and 12 observed federal holidays
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
Free 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 wellness program with financial incentives
Tuition reimbursement and family scholarship programs
Career development and training opportunities