Graduate Intern, Reservations (Data Science) - Spring 2026

Overview

On Site
Full Time

Skills

Data Science
Spring Framework
Customer Service
Process Improvement
Product Management
Statistical Models
Mentorship
Computer Networking
Back Office
Customer Engagement
Collaboration
Statistics
Advanced Analytics
Data Analysis
Finance
Presentations
Attention To Detail
Machine Learning (ML)
Pandas
scikit-learn
Git
Authorization
Communication
Relational Databases
Python
SQL
Orchestration
Amazon Web Services
Data Visualization
Microsoft Power BI
Tableau
Adobe AIR

Job Details

Join Delta Air Lines as a Reservations Intern and help shape the future of customer care. You'll work on high-impact projects that improve the servicing experiences for millions of customers while gaining hands-on experience in data analytics, process improvement, product management, or statistical modeling. While interning in Reservations you'll gain:

Real-world experience in a Fortune 100 company

Experience presenting to an executive audience

Mentorship and networking opportunities

What is Reservations?

As a department, Reservations serves as the point of contact for our customers before, during, and after travel. This internship is a back-office role at our General Offices (GO), where you'll support our Customer Engagement Centers by providing essential behind-the-scenes assistance that helps improve the experience of both the Delta customer and the agents who serve them.

Job Summary:

The Reservations Intern serves as an internal consultant, leading semester-long projects that support divisional strategies and goals. These initiatives often involve cross-functional collaboration to identify opportunities and recommend solutions that enhance both customer and specialist experiences.

What are we looking for?

An ideal candidate will have educational experience in machine learning, statistical analysis, and data storytelling. The candidate should have good organizational and communication skills and feel comfortable in a fast-paced environment.

Primary functions of the graduate-level intern include:

  • Partnering with existing data scientists to develop advanced analytics solutions for complex business problems
  • Collecting data via SQL/Python queries and performing exploratory data analysis
  • Presenting analysis to business partners in a digestible way

These large and complex projects may contain highly confidential material and present moderate financial risk. The final project deliverable is a capstone presentation given to division leaders highlighting project lessons learned, impacts made, and recommendations going forward.

What you need to succeed (minimum qualifications)

  • Must be currently pursuing a master's degree
  • Not enrolled in any classes (remote or on-campus) during the duration of the progrma
  • Must be able to work 16 consecutive weeks
  • Must be willing to travel as required
  • Must be able to come into Corporate Headquarters in Atlanta 2 - 3 times a week
  • A strong team player, detail oriented, and perform well under pressure
  • Conveys professional image to all levels of associates

Proficient in tools such as:

  • Classic Machine Learning Models
  • SQL
  • Python
  • Experience with pandas, scikit-learn, or similar libraries
  • Git

  • Consistently prioritizes safety and security of self, others, and personal data.
  • Embraces diverse people, thinking, and styles.
  • Possesses a high school diploma, GED, or high school equivalency.
  • Is at least 18 years of age and has authorization to work in the United States.

What will give you a competitive edge (preferred qualifications)

  • Experience in previous corporate environments in part-time or full-time capacity
  • Strong written and verbal communication skills highly preferred

Experience with:

  • Relational and non-relational databases
  • Data types (structured, unstructured, log, audio recordings, images, etc.)
  • Simulation in python
  • Dbt and other SQL orchestration tools
  • AWS experience
  • Data visualization tool knowledge (Power BI, Tableau, etc.)

Delta Air Lines recognizes and values diversity. We are an equal opportunity employer.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.