Data Science & Engineering Intern: Build AI & Analytics

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

Benefits offered by this job

Competitive base salaries

Bonus incentives

Paid time off

12 Federal Holidays observed

401k with employer match

Medical, dental, vision coverage

Disability insurance

Flexible hybrid working arrangements

Parental leave and adoption support

Gym subsidy

Job summary

Sallie Mae’s Education Services internship offers hands-on experience in data science and engineering within a fast-paced startup-like environment backed by a household name. You will work on digital marketing analytics, product analytics, and student lending projects, mentored by senior leaders and exposed to real business decisions.

Open to undergraduate and graduate students with a focus in data-related fields, this 12-week paid internship requires a 40-hour work week and offers in-office

Qualifications

• Currently enrolled in a university pursuing a degree in Data Science, Computer Science, Statistics, Business Analytics, Mathematics, Data Engineering, AI, or related field.
• Expected graduation Dec 2027 - May 2028.

Responsibilities

• Use SQL and Python to prepare, transform, and analyze data from multiple sources.
• Translate business requirements into technical solutions with team input.
• Support the development of data pipelines, analytics, 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 and communicate results to nontechnical partners.
• Work with AI-assisted development tools and validate outputs.

Skills

SQL

Python

Marketing metrics

Communication

Attention to detail

Willingness to learn

Education

Data Science or related field

Tools

Snowflake

Databricks

AWS

GitHub

Job description

Sallie Mae’s Education Services internship offers hands-on experience in data science and engineering within a fast-paced startup-like environment backed by a household name. You will work on digital marketing analytics, product analytics, and student lending projects, mentored by senior leaders and exposed to real business decisions.

Open to undergraduate and graduate students with a focus in data-related fields, this 12-week paid internship requires a 40-hour work week and offers in-office