Intern, Data Science, Theatrical Marketing – Summer 2026

Application Deadline: March 24, 2026    

Program Dates: June 1, 8, or 15, 2026 – August 28, 2026   
Start and end dates are flexible. Interns must be available to work full-time (40 hours/week) in person at the designated office location.   

Our Emerging Talent Programs — including Internships and Trainee roles — provide hands-on opportunities for students and early-career professionals to contribute to the teams behind our film, television, and entertainment experiences.   

These paid, seasonal assignments deliver meaningful, high-impact work designed to accelerate your growth. You'll take on real responsibilities, build practical skills, and gain exposure to the business through structured learning, executive engagement, and networking opportunities.   

Our internship program is designed for students currently enrolled in an accredited college or university, as well as individuals seeking to deepen their education through immersive, professional experience in the entertainment industry. 

Department Description: 

The Marketing Analytics & Insights team is at the fast-moving intersection of film marketing strategy, shifting consumer behaviors, and big data / predictive modeling. The team supplies tools, data and insights that fuel data-informed decision making around audience & creative marketing strategies in support of theatrical films. Team goals include adapting predictive models for the quickly changing marketplace, enhancing film recommender engines, and identifying new ways of guiding film greenlighting and early decision making. The ideal candidate joins a growing team of Data Scientists that collaborates with Analytics, Research, and Marketing colleagues to support tools, predictive models and technology that fuel the department. 

Responsibilities: 

• Exploratory analysis: Design and conduct analyses of content and audience data as guided by business needs to help ascertain potential for further research & development.  

• Prototype development: Develop and validate early iterations of data products to be further polished and productionized in collaboration with internal and cross-team stakeholders.  

• ETL / feature engineering support: Assist data scientists in analyzing, processing, and transforming data for use as input features in models.  

• Data product / model / process & documentation support: Help maintain and update existing data products and documentation. 

Qualifications: 

• Pursuing a Master’s or PhD degree in Data Science, Artificial Intelligence, Machine Learning, Statistics, Human-Computer Interaction, Economics, Computational Social Science, or similarly relevant quantitative domain.  

• Undergraduate degree in quantitative domain listed above or in fields related to the entertainment/media industry (film, business, communication, media studies, marketing, and similar). 

•  Minimum 1-2 years of work experience, preferably in entertainment, marketing, tech, research, and/or consumer insights.  

• Experience with Python (Pandas, numpy, scikit-learn, JupyterLab, etc.) and SQL 

• Knowledge of regression, classification, feature selection, clustering, cross-validation, vector distance/similarity, data preprocessing, data transformation, and data visualization.  

• Self-starter, excels in proactively seeking out resources and guidance to combine with own expertise to develop data products optimally fitting stakeholder needs. 

Preferred Qualifications: 

• Experience with LLM application development 

• Experience with AWS (S3, Sagemaker Studio, Model Registry, EC2, etc.) 

• Experience with Docker 

• Experience with Git / Github 

• Experience with code refactoring 

• Entertainment industry experience / domain knowledge 

• Passion for movies is a major plus!