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.

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.

• →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

• 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.

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.