Summer 2027 Customer Experience & Analytics Data Science Internship

Department:

Customer & Brand Analytics

Our Company Promise

We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer.

Job Description:

Summer 2027 Customer Experience and Analytics Data Science Internship

  

Notice: We ask that you apply with your personal email address rather than your school email (.edu) so we can stay connected about future roles at Southwest. Be sure to attach a resume to your application.

  

Customer Experience and Analytics Team (CX&A Data Science Intern): The CX&A Data Science Intern is responsible for the application of statistics/math, business acumen, and computer science concepts to collect, organize, analyze, summarize, and interpret data; or participate in the development of data science, machine learning, artificial intelligence, or optimization products which generate competitive advantage for the enterprise by driving actionable insights and decisions in support of descriptive, diagnostic, predictive, or prescriptive business needs. 

Additional Details

• Join Southwest as a Summer 2027 Intern, with a 12-week internship lasting from May 18 – August 8, 2027.
• Pay of $22-26 per hour, corresponding with progress toward degree. 
• Stipends may be offered based on eligibility and program criteria.
• The culture of Southwest Airlines means we value the camaraderie, collaboration, and innovation that occurs when we come together and interact face-to-face at our vibrant Corporate Campus. Due to the nature of this role, you would be required to work from our Dallas, TX headquarters facility during business hours (2702 Love Field Drive).
• Dedicate 40 hours each week (maximum of 8 hours per day) to your internship responsibilities and tasks. 
• Receive free, unlimited space available travel privileges for yourself (taxes and fees may apply on international travel). 
• Interns will be provided any required equipment, such as a laptop, for the internship. 
• U.S. citizenship or current authorization to work in the U.S. required and no current or future work authorization sponsorship available. 

 

We’re committed to fair hiring practices and to making employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, disability, genetic information, or other legally protected characteristics.

 

Duties and Responsibilities: The duties and responsibilities of the Customer Experience and Analytics (CX&A Data Science Intern) may include, but are not limited to:  

• Work on moderately complex data science, machine learning, AI, or optimization projects to define, analyze, and deliver solutions aligned with business objectives. 

• Apply math, statistics, and modeling methods for descriptive, diagnostic, predictive, and prescriptive analytics. 

• Extract, transform, and analyze large datasets to identify trends, risks, and opportunities, delivering actionable insights. 

• Support ongoing effectiveness and maintenance of models and analytical solutions. 

• Build and maintain relationships within the Customer Organization and contribute to the data science community. 

• May perform other job duties as directed by intern’s leaders.  

Knowledge, Skills, and Abilities:   

• Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint). 

• Strong Excel skills, including PivotTables, VLOOKUP, graphing, and data manipulation. 

• Ability to build and deliver PowerPoint presentations. 

• Strong written and verbal communication skills for technical and non-technical audiences. 

• Knowledge of foundational statistics and math concepts. 

• Understanding of descriptive, diagnostic, predictive, and prescriptive analytics. 

• Ability to compile, clean, transform, analyze, and visualize large-scale data. 

• Strong analytical and problem-solving abilities. 

• Ability to manage and organize large datasets accurately. 

• Detail-oriented with a focus on data integrity and process improvement. 

• Team-oriented with the ability to work independently. 

• Quick learner, self-motivated, and adaptable. 

• Ability to work independently and the willingness to function as a part of a Team. 

• Ability to coordinate multiple tasks and complete assignments with tight deadlines. 

• Must maintain a professional appearance and attitude 

• May perform other job duties as directed by the team. 

  

Education:  

• High School Diploma, GED or equivalent education required  

• Progress toward a degree, major, or minor in Aviation, Aviation Management, Applied Mathematics, Analytics, Business Administration, Business Analytics, Business Administration, Computer Science, Data Analytics, Economics, Engineering, Finance, Hospitality, Information Science, Information Systems, Information Technology, Machine Learning, Management, Management Information Systems, Marketing, Math, Operations Research, Professional Sales, Science, Software Development, Statistics, Supply Chain or similar degree 

• Progress towards a 4-year undergraduate degree preferred  

• To be eligible, you must be currently enrolled as a full-time student (as defined by your  university) at the time of application and during the internship  
• 1-2 semesters remaining at the time the internship ends is preferred  

• Minimum 2.5 cumulative GPA at the time of application  

  

Basic Qualifications:  

• Must be at least 18 years of age  

• You must have a valid U.S. Social Security Number to complete the full hiring process  

 

Experience 

• Preferred: Experience with forecasting software and models. 

• Preferred: Programming knowledge in SQL, VBA, or other database management tools. 

• Preferred: Familiarity with Python, Java, or similar scripting languages. 

• Preferred: Experience with data visualization tools (Tableau, Power BI). 

• Preferred: Exposure to data cleansing and transformation tools (e.g., Alteryx). 

• Preferred: Knowledge of data science project lifecycle and stakeholder engagement. 

• Preferred: Ability to evaluate data science, machine learning, AI, or optimization techniques for business problems. 

• Preferred: Previous internship or work experience in analytics or aviation environment. 

• Preferred: Leadership experience or involvement in campus organizations. 

Southwest Airlines is an Equal Opportunity Employer.
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