Summer Intern, Data Science (LA Kings)

AEG WorldwideEl Segundo, CA
15d$19 - $21Onsite

About The Position

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. If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer! Job Summary: The Data Science intern will work within the Business Intelligence and Analytics department at the Los Angeles Kings Hockey Club and will collaborate with business operations, sales, ticketing, marketing and creative teams to drive strategy, improve revenue, and 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 science, data engineering, and statistical analysis techniques.

Requirements

  • To be eligible for this internship you must be a current student pursuing a Master’s degree in Statistics, Applied Mathematics, Computer Science, Business Analytics, Data Science, Machine Learning, or related field.
  • Highly organized, resourceful, and dependable, with excellent interpersonal skills and oral and written communication skills
  • Passion for sports, live entertainment, data, and technology
  • Experience and strong interest in data science, machine learning and data engineering.
  • Experience with statistical analysis and machine learning using Python/R
  • Intermediate to advanced SQL knowledge
  • Experience with data visualization tools (PowerBI, Tableau)
  • You have prior experience from internships, work, or projects in a related field
  • Excellent written and verbal communication skills
  • Ability to multi-task and work well under pressure
  • Desire to learn more about the sports and entertainment industry
  • The AEG Internship Program requires a minimum commitment of 24 hours per week during the summer.

Nice To Haves

  • Experience with and/or interest in Large Language Models (LLM) or generative AI is a big plus
  • Experience with Microsoft Azure, Databricks and Databricks SQL is a big plus

Responsibilities

  • Support the team by building data science models, developing insights, and uncovering trends to improve the Los Angeles Kings business operations (demand forecasting, fan segmentation, fan behavior, customer retention) .
  • Lead and collaborate on the development of data science and advanced analytics models including customer lifetime value modeling, dynamic pricing, demand forecasting, ticket inventory mix optimization, customer retention forecasting, and customer persona modeling.
  • Analyze core business datasets which include: ticketing purchases, attendance, merchandise and concession sales, fan demographics, social media metrics, digital marketing spend, media valuations, tv ratings, web analytics, and app usage.
  • Understand, optimize and deploy existing models using statistical analysis and machine learning techniques
  • Design interactive dashboards and communicate actionable insights through Power BI to support strategic decision-making.
  • Assist other AEG sports entities by helping to move, store, and organize data in addition to sourcing data via web scraping and connecting to APIs
  • Gain experience applying data science principles to solve problems
  • Build data models that help solve high-impact business questions
  • Partner closely with the data science mentor to complete and present a final project

Benefits

  • Work on increasingly challenging and engaging real-world projects
  • Gain hands-on experience in event planning, marketing initiatives, and business administration
  • Collaborate with experienced sales and activation professionals
  • Work closely with experienced team members who coach and provide mentorship
  • Attend meetings, events, and other networking opportunities
  • Corporate networking
  • Resume review
  • Attend meetings, events, games, and other networking opportunities
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