✦ Luna Orbit — AI & Machine Learning

Marketing Data Science Intern

at Live Nation Entertainment

📍 Beverly Hills, CA, USA Hybrid Posted March 29, 2026
Type Internship
Experience intern
Exp. Years Not specified
Education Enrolled Master’s or PhD student
Category AI & Machine Learning

Marketing Data Science Intern will work with engineering teams on automated fan engagement and targeting engine, applying ML techniques to personalize communications and drive marketing outcomes.

  • Be part of a dynamic team working on ML-powered fan engagement and targeting
  • Evaluate algorithms and tools
  • Build and optimize data pipelines and models
  • Collaborate with marketing and analytics teams

Tech stack includes Python/Java programming, SQL for data extraction, Spark/Scikit-Learn/Pandas for ML workflows, AWS as cloud platform, and LLM-driven personalization

The ideal candidate is a masters/ PhD student with strong python/java, ML coursework or experience, cloud familiarity (AWS), and interest in building ML-powered marketing products.

Higher Education (Masters or PhD) StudentProficiency in Python and/or JavaCoursework or experience with SQL is a plus
SparkScikit-LearnPandasAWSLLMsLarge Language ModelsMachine Learning coursework
PythonJavaSQLSparkScikit-LearnPandasAmazon Web ServicesLLMsLarge Language Models
PythonJavaSQLSparkScikit-LearnPandasAmazon Web ServicesLLMSlarge language modelsdata analysismachine learning
PythonJavaSQLSparkScikit-LearnPandasAmazon Web ServicesLLMslarge language models
Effective communicationTeam collaborationCuriosityResourcefulnessInnovative thinkingProactive learning
Industry Entertainment
Job Function Develop ML-powered marketing insights and personalization features for Live Nation's fan engagement platform
Role Subtype AI & Machine Learning Intern
Tech Domains Python, Java, SQL / PostgreSQL, Spark, Scikit-Learn, Pandas, Amazon Web Services
marketing data science internmachine learningSparkScikit-LearnPandasAmazon Web ServicesLLMslarge language modelsPythonJavaSQLdata analysispersonalizationcollaborative filteringmarketing platforminternshiphybridremoteUnited States
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