Data Analytics Intern

    Corning Incorporated logo

    Corning Incorporated

    10,001+ employeesFounded 1851Corning, New YorkGlass, Ceramics and Concrete Manufacturing
    Actively hiringPaidSummer 2027Glass, Ceramics and Concrete Manufacturing
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    About the role#

    This summer internship offers an opportunity to work with the Environmental Technologies segment of Corning. You will support technical manufacturing projects by analyzing data and building tools that help engineers make informed decisions. The role involves working with large data sets and communicating complex results to the team.

    What you'll do#

    • Manage and manipulate large data sets to support project goals.
    • Create predictive tools that inform business and technical decisions.
    • Develop methods for detecting process data anomalies.
    • Build dashboards to assist engineers with their daily tasks.
    • Devise graphical methods to explain your results and model predictions to others.

    What you'll need#

    • Current enrollment in a degree program for Data Science, Statistics, or Computer Science, with a graduation date of December 2027 or later.
    • Experience with data analysis using software such as Python, R, or PowerBI.
    • Availability for a 10-week period during Summer 2027.
    • Interest in potential full-time employment with Corning following graduation.

    Location & details#

    • Location: Painted Post, New York.
    • Modality: On-site.
    • Duration: 10 weeks, Summer 2027.
    • Compensation: This is a paid position with a biweekly range of $1,635.00 to $3,185.00.
    • Note: This position does not provide immigration sponsorship.

    About Corning Incorporated

    Corning Incorporated operates as a manufacturer in the glass, ceramics, and concrete sectors. Founded in 1851, the company maintains its headquarters in Corning, New York. It employs over 22,000 people across its global operations. The firm focuses on optical communications, mobile consumer electronics, display technology, automotive components, and life sciences equipment.

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