Live Nation Entertainment is the world’s leading live entertainment company, and they are seeking a Data Science Intern to support their analytics, machine learning, and AI initiatives. In this role, you will gain hands-on experience manipulating and analyzing concert and venue data, building machine learning models, and leveraging data intelligence platforms.
Partner with Data Scientists to design, implement, and maintain retrieval-augmented generation (RAG) pipelines and AI applications powered by large language models (LLMs), including vector embedding store setup, prompt engineering, and integration with internal business systems.
Conceptualize, build, and implement Machine Learning models within the Databricks platform.
Build complex SQL queries to compile, manipulate, and aggregate data.
Perform ad-hoc statistical/exploratory analysis including, but not limited to, regression, clustering, and optimization.
Partner with engineering and IT teams to productionize models, debug/troubleshoot code, and integrate with other internal business systems.
Qualification
Required
Currently pursuing a Master’s degree in a relevant field, such as data science, computer science, statistics, or business analytics.
Proficiency in Python.
Proficiency in SQL.
Experience working with LLMs, including prompt-engineering and RAG pipelines.
Experience using statistical modeling and machine learning to solve business problems.
Experience working with large and complex datasets.
Thorough understanding of machine learning principles and experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks).
Strong communication skills and the ability to summarize complex analyses.
Preferred
Experience with MLOps and model deployment pipelines is a plus, but not required.
Benefits
Free concert tickets
Dog-friendly offices
Student loan reimbursement
Adoption/fertility support
Live Nation Entertainment is a producer, promoter, and seller of live concert tickets for artists and fans. It is a sub-organization of Priority Records.