INTERNSHIP DETAILS

Fall Intern, Data Science (AXS)

CompanyAXS
LocationLos Angeles
Work ModeOn Site
PostedSeptember 23, 2026
Internship Information
Core Responsibilities
Support the development and evaluation of dynamic ticket-pricing models by analyzing ticketing, event, and market data and applying machine learning and statistical techniques. Build tools and visualizations to monitor model performance, collaborate with a data science mentor on a final project, and identify opportunities to improve business decisions.
Internship Type
full time
Salary Range
$19 - $21
Company Size
886
Visa Sponsorship
No
Language
English
Working Hours
18 hours
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About The Company
AXS is a global ticketing platform, offering best-in-class ticketing, marketing and data technology in a single platform to suit every client size and type, from the most intimate music clubs to world championship sporting events. AXS is the ticketing partner for over 500 premier venues, sports teams, event organizers across North America, Europe, Asia & Australia including First Avenue, LA28, Red Rocks Amphitheatre, Crypto.com Arena, Coachella, Stagecoach, The O2, and BLeague - Japan. AXS powers both primary and resale marketplaces, leveraging integrated technology and analytics to enable our partners to sell the right ticket to the right fan at the right price. For more, visit www.axs.com or https://solutions.axs.com.
About the Role

Fall Intern, Data Science  (AXS)

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

About AXS

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we've consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We're passionate about improving the fan experience and providing game-changing solutions for our clients, and we're always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment. Together we keep the world cheering.

Job Summary:

The Data Science intern will work within the Business Intelligence department and will collaborate with business operations teams to help drive efficiencies by identifying patterns, predicting outcomes, and providing actionable insights for our organization. To do this, they will collect, clean, model, and analyze data using machine learning, data engineering, and statistical analysis techniques.

Responsibilities

  • Support the development and improvement of dynamic ticket pricing models for sports properties, including basketball, ice hockey, and soccer
  • Analyze ticketing, event, and market data to identify trends and opportunities to improve pricing recommendations
  • Develop, test, and evaluate machine learning and statistical models to optimize pricing strategies and solve business challenges
  • Build monitoring tools, dashboards, and visualizations to track model performance and business impact
  • Partner closely with the data science mentor to complete and present a final project
  • Proactively identify innovative data science opportunities that drive business growth and enhance strategic decision-making

Qualifications

  • To be eligible for this internship, you must be a current student pursuing an MS degree in Statistics, Applied Mathematics, Computer Science, Economics, Business Analytics, Data Science, Machine Learning, or a related field
  • Prior internship, work, or project experience in a related field
  • Experience with cloud computing platforms such as Databricks or Snowflake is a plus
  • Strong programming proficiency in Python and SQL, with experience in data manipulation, analysis, and visualization
  • Solid understanding of machine learning concepts, statistical modeling, and optimization techniques
  • Highly organized, resourceful, and dependable, with strong interpersonal, written, and verbal communication skills
  • Desire to learn more about the sports and entertainment industry
  • The AEG Internship Program requires a minimum commitment of 18 hours per week during the fall.

Benefits:

  • Access to real-world data about what drives live events and entertainment
  • Network with professionals at a global leader in live events.
  • Gain knowledge of a wildly popular and compelling industry, firsthand.
  • Build a platform for future career growth – inside the company or beyond.
  • Gain some tangible skills on how to work with data and apply to live event strategy

Intern Perks:

  • Outstanding opportunity to get an inside view across the entire AEG global portfolio: sports, entertainment districts, live music and events, arenas, clubs, and theaters.
  • Resume review with AEG Talent Acquisition team
  • Corporate networking

Pay Range: $19.00-21.00

Location: Los Angeles (On-Site)

Bonus: This position is not eligible for a bonus under the current bonus plan requirements.

Benefits: Part-time: This position is not eligible for benefits.

AEG reserves the right to change or modify the employee’s job description, whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside his/her normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

Employer does not offer work visa sponsorship for this position.

 

Key Skills
PythonSQLData ManipulationData AnalysisData VisualizationMachine LearningStatistical ModelingOptimizationData EngineeringDynamic Ticket PricingDashboard DevelopmentCloud ComputingCommunicationProblem-Solving
Categories
Data & AnalyticsTechnologyScience & ResearchSports & Recreation
Benefits
Access to Real-World DataProfessional NetworkingIndustry KnowledgeCareer Growth OpportunitiesResume ReviewCorporate Networking