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Graduate Intern, Reservations (Data Science) - Spring 2027

Delta Air Lines, Inc.

Atlanta, GA · HybridInternshipSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
No compensation found
Location
Atlanta, GAHybrid
Role Type
Internship
Schedule
Internship
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Master's degree

Job overview

The Reservations Intern supports Delta’s Customer Engagement Centers through semester-long projects focused on customer and agent experiences. The role may analyze call transcripts, chat logs, and survey responses using natural language processing to improve customer experience and operational efficiency. The intern collaborates across functions, works with data scientists on analytics solutions, and presents findings to business partners.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningStatistical AnalysisNatural Language ProcessingData StorytellingOrganizationCommunicationSQLPythonPandasScikit-LearnGitTeamworkAttention to DetailWritten CommunicationVerbal CommunicationStructured and Unstructured DataData VisualizationPower BITableauTokenizationEmbeddingsSentiment AnalysisTopic ModelingNLTKSpaCyHugging FaceConversational or Text DataLarge Language ModelsPrompt Engineering

Qualifications

Master's or PhDNot Enrolled During InternshipAble to Work 16 WeeksWilling to TravelHigh School Diploma or EquivalentMust Be 18+Corporate Environment Experience

Full job description

How you'll help us Keep Climbing (overview & key responsibilities)

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, statistical modeling, and natural language processing (NLP).

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?

Reservations serves as the point of contact for customers before, during, and after travel. This internship is a back-office role at our General Offices (GO), supporting Customer Engagement Centers by improving both customer and agent experiences.

Job Summary

The Reservations Intern serves as an internal consultant, leading semester-long projects that support divisional strategies and goals. These initiatives involve cross-functional collaboration to identify opportunities and recommend solutions. Projects may include analyzing customer interaction data such as call transcripts, chat logs, and survey responses using NLP techniques to improve customer experience and operational efficiency.

What are we looking for?

An ideal candidate will have educational experience in machine learning, statistical analysis, natural language processing (NLP), and data storytelling. The candidate should have strong organizational and communication skills and be comfortable in a fast-paced environment.

  • Partner with data scientists to develop advanced analytics solutions, including NLP use cases such as sentiment analysis, intent classification, and conversational data modeling

  • Collect data via SQL/Python queries and perform exploratory data analysis

  • Present analysis to business partners in a clear and compelling way

What you need to succeed (minimum qualifications)

  • Currently pursuing a Master’s or Ph. D degree

  • Not enrolled in classes during the internship

  • Able to work 16 consecutive weeks

  • Willing to travel as required

  • Able to work on-site in Atlanta 2–3 times weekly

  • Strong team player with attention to detail

  • Proficient in SQL, Python, machine learning, pandas, scikit-learn, 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 corporate environments

  • Strong written and verbal communication skills

  • Experience with structured and unstructured data

  • Knowledge of data visualization tools (Power BI, Tableau)

  • Experience with NLP techniques (tokenization, embeddings, sentiment analysis, topic modeling)

  • Familiarity with NLP libraries such as NLTK, spaCy, or Hugging Face

  • Experience working with conversational or text datasets

  • Exposure to large language models (LLMs) and prompt engineering

Benefits and Perks to Help You Keep Climbing

Delta Air Lines, Inc. is an Equal Employment Opportunity / Affirmative Action employer and provides reasonable accommodation in its application process for qualified individuals with disabilities and disabled veterans. If you are a qualified individual, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings through this site, apply for jobs through Delta’s online system, or at any point in the selection process. To request a reasonable accommodation, please click here

How this job compares

Set against the 5,264 open Data Analyst jobs on Olive Jobs, counted October 29, 2026.

Pay
  • This postingNot listed
  • Georgia median$84–131K/yr75 salary ranges
  • US median$30–36/hr379 hourly ranges
Openings
Olive Jobs lists 164 open Data Analyst jobs in Georgia and 5,264 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Georgia
Experience
Data Analyst postings that state a minimum ask for 4 years of experience at the median; the middle half ask for 2 to 5 years (3,923 postings).
Education
This posting asks for a master's degree; 127 of the 5,264 open Data Analyst jobs (2%) ask for a master's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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