Paid Data Science & Engineering Intern — Hybrid (12 weeks)

Sallie Mae; Newark (DE); Hybrid; USD 28,000 - 41,000; Full time

Benefits offered by this job

Competitive base salary

Bonus incentives

Generous PTO & holidays

401k with employer match

Medical/dental/vision coverage

Flexible hybrid work arrangement

Parental leave and adoption assistance

Job summary

Sallie Mae in the United States is seeking a Data Science & Engineering Intern to join the Education Services team. You will help build data-driven solutions for digital marketing, analytics, and student lending initiatives and gain exposure to senior leaders and mentors during a 12-week paid internship.

Qualifications include SQL, Python, and coursework in data science, CS, or related fields. The role offers a flexible hybrid schedule with in-office days in Newark, DE or Arlington, VA.

Qualifications

• Experience using SQL to query, join, filter, and aggregate data.
• Experience using Python for data analysis, machine learning, or AI.
• Understanding of digital marketing measurement and funnel metrics.

Responsibilities

• Use SQL and Python to prepare, transform, and analyze data from multiple sources.
• Collaborate with team to translate business requirements into technical solutions.
• Support development of data pipelines, analytical tools, and reporting dashboards.
• Contribute to predictive models, time series forecasts, and AI enablement.
• Investigate data quality issues and validate analyses and data products.
• Document methods and findings and communicate results to non-technical partners.
• Use AI-assisted development tools and verify outputs.

Skills

SQL

Python

Data analysis

Communication

Learning

Education

Data Science/CS/Statistics degree

Tools

Snowflake

Databricks

AWS

GitHub

Job description

Sallie Mae in the United States is seeking a Data Science & Engineering Intern to join the Education Services team. You will help build data-driven solutions for digital marketing, analytics, and student lending initiatives and gain exposure to senior leaders and mentors during a 12-week paid internship.

Qualifications include SQL, Python, and coursework in data science, CS, or related fields. The role offers a flexible hybrid schedule with in-office days in Newark, DE or Arlington, VA.