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Intern, Insights, Strategy & Analytics, Product Management – Data Science – Fall 2026

Summary

Intern builds data-driven tools and predictive models for TV production workflows, including dashboards and AI-driven features, while collaborating with data scientists and product teams.

Program Dates: September 8 or 14 – December 11, 2026

Start and end dates are flexible. Interns must be available to work part-time (10-29 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.

Insights, Research & Analytics team works in a consultative manner with Senior Executives and with Content, Strategy, and Marketing Leaders to deliver insights and tools that inspire creative development, content strategy, and marketing for our US TV studio. Our role is to deeply understand the TV Production process and deliver data driven tools that support and streamline creative workflows. The team is looking for a Product Management - Data Science Intern to support Tool and App development, with a focus on predictive models and GPTs.

Key Responsibilities

  • Support the development of dashboards and internal tools used by TV Production teams to streamline workflows, budgets, and predictive models

  • Partner with data scientists and engineers to document product requirements and prioritization of features

  • Write clear, structured technical documentation for data products, workflows, and systems

  • Assist in prompt engineering and testing for AI-driven tools and workflows

  • Evaluate datasets for quality, usability, and business relevance

  • Help design and execute product UAT testing, including gathering user feedback and iterating on features

  • Translate business needs into data product use cases and specifications

  • Work with product managers and team members to generate user guides and instructions

Qualifications

  • Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Business Analytics, Economics, or a related field

  • Strong analytical thinking and problem-solving skills

  • Interest in product management, data products, and media/entertainment

  • Familiarity with data visualization tools (e.g., Tableau, Power BI, or similar)

  • Basic understanding of SQL and/or Python

  • Strong written communication skills, especially for technical documentation

  • Exposure to AI/LLMs or prompt engineering is a plus

  • Ability to work cross-functionally and communicate with both technical and non-technical stakeholders

Preferred Qualifications

  • Experience working on data products, dashboards, or analytics projects

  • Proactive self-starter, with the ability to work with ambiguity and seek clarity

  • Interest in television production, streaming, or media analytics

What You’ll Gain

  • Hands-on experience building real-world data products in a major entertainment studio

  • Exposure to how data science supports creative and production decisions

  • Experience working with cross-functional teams in a fast-paced, collaborative environment

  • Mentorship from experienced professionals in data, product, and strategy

The anticipated base salary for this position is $19/hour. This role may also qualify for comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position.

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 SPE_Accommodation_Assistance@spe.sony.com.

See also