Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Live Nation’s Concerts Division is where tours are born, artists come to life, and fans get to experience the rush of live music. We are seeking a Data Science Intern to join our Chicago-based team to support our 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 for streamlining workflows and automating processes. Responsibilities include partnering 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; conceptualizing, building, and implementing Machine Learning models within the Databricks platform; building complex SQL queries to compile, manipulate, and aggregate data; performing ad-hoc statistical/exploratory analysis including regression, clustering, and optimization; partnering with engineering and IT teams to productionize models, debug/troubleshoot code, and integrate with other internal business systems. Requirements include currently pursuing a Master’s degree in a relevant field such as data science, computer science, statistics, or business analytics; proficiency in Python and 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; experience with MLOps and model deployment pipelines is a plus but not required. The company is committed to equal employment opportunity and diversity, providing reasonable accommodations for disabilities and religious practices.
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