Application Deadline: March 24 2026
Program Dates:June 1 8 or 15 2026 August 282026
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.Youll 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 seekingto 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 toolsdata 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 andidentifying new ways of guiding film greenlighting and early decisionmaking. 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 andvalidateearly 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 Mastersor 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 (Pandasnumpy 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-starterexcels in proactively seeking out resources and guidance to combine with ownexpertiseto develop data products optimally fitting stakeholder needs.
Preferred Qualifications:
Experience with LLM application development
Experience with AWS (S3SagemakerStudio 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!
Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race color religion sex national origin disability veteran status age sexual orientation gender identity or other protected characteristics.
SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law.
Sony Pictures does not allow audio recording video recording or use of AI note-taking tools during interviews. Please be aware these tools may be enabled as a default and can be difficult to disable once the interview has started so we recommend you check your device and disable these tools prior to the start of your interview. If recording or the use of the tools occurs during the interview and cannot be promptly turned off or disabled the interviewer may end the interview.
To request an accommodation for purposes of participating in the hiring process you may contact us at
Required Experience:
Intern
The toga lady holds her torch high for film audiences everywhere by representing Columbia Pictures, the studio through which Sony Pictures Entertainment produces its big budget movies. The studio was founded in 1924, and in 1982 it was purchased by Coca-Cola. Sony purchased ...