Activision 2027 Summer Internships - Analytics Engineering

Activision
Santa Monica, California, United StatesPosted Sep 11, 2026
Data Science / MLSummer 2027

About the role

Job Title

Activision 2027 Summer Internships - Analytics Engineering

Requisition ID

R028056

Job Description

Activision is looking for talented and innovative students to join our teams for summer 2027. All interns will receive a meaningful project and an unparalleled experience. We’ll provide the tools and resources you need to learn. The challenging and creative work you do throughout your internship will directly impact the team you are contributing to. All internships will be conducted in-person. Hosting managers will determine when and how often interns work in the office. All interns will have the option to opt into relocation services (flights, trains, or car mileage reimbursement). Additionally, all interns will be provided with a living stipend to subsidize housing, utility, commuting, and miscellaneous costs. Internship Program Requirements Currently enrolled in a bachelor’s or master’s degree program and graduating December 2027 – June 2028 Available to participate in a 12-week internship starting in late-May or mid-June Currently residing in the US or open to relocating oneself to the US Exhibits learning agility; has the ability to think differently, and/or grasp and apply new skills and concepts Approaches problems in a clear, well-organized, and solutions-oriented manner Works well with others and contributes to team tasks Able to effectively communicate problems, solutions, needs, or priorities Is engaged, seeks to learn, and is able to manage time effectively Applicants must apply with a resume and a link to their code samples to be considered Internship Opportunities

Analytics Engineering Intern

As an Analytics Engineering Intern, you’ll partner with teams across Marketing, Analytics, Engineering, Product, and Player Insights to help solve business challenges through data. Working alongside experienced engineers, you’ll contribute to data pipelines, analytics services, and AI-powered data products using technologies such as Databri

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