Graduate Data Scientist Intern: ML Modeling & Insights

Delta Air Lines; Atlanta (GA); On-site; USD 27,552,000 - 48,216,000; Full time

Job summary

Delta Air Lines invites a graduate-level Data Scientist intern to develop ML models and deliver insights across operational divisions. You’ll collaborate with a team to create analytics solutions, collect data via SQL, and present findings to business owners using clear narratives and visuals.

An ideal candidate is pursuing a Master’s in data-related fields, proficient in SQL and Python/ML, with strong communication skills, and ready to work onsite in Atlanta from January to May 2027.

Qualifications

• Pursuing a Master’s degree in Data Science, Statistics, Mathematics, Operations Research, or Computer Science.
• Experience working with relational databases (SQL).
• Understanding of machine learning techniques (Python, SciKit Learn, or other machine learning platforms).
• Good written, oral communication, and interpersonal skills.
• Must be able to commit to the duration of the internship timeline: January 11, 2027 – May 7, 2027.
• Must be able to work onsite in the Atlanta, GA office.
• Embraces diverse people, thinking and styles.
• Is at least 18 years of age and has authorization to work in the United States.

Responsibilities

• Work within a team of data scientists to develop advanced analytics solutions for complex business problems
• Collect data via SQL queries and perform exploratory data analysis
• Present analysis to business owners using concise but compelling narrative and visuals
• Learn new techniques within cloud-based platforms

Skills

SQL

Python

Machine learning concepts

Data storytelling

Communication skills

Education

Master’s degree in Data Science / Statistics / Mathematics / Operations Research / Computer Science

Tools

SciKit Learn

Job description

Delta Air Lines invites a graduate-level Data Scientist intern to develop ML models and deliver insights across operational divisions. You’ll collaborate with a team to create analytics solutions, collect data via SQL, and present findings to business owners using clear narratives and visuals.

An ideal candidate is pursuing a Master’s in data-related fields, proficient in SQL and Python/ML, with strong communication skills, and ready to work onsite in Atlanta from January to May 2027.