Digital & IT Intern, Analyst, Manufacturing AI/ML

    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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    Best applied by Sep 16

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    About the role#

    This internship with the Corporate Technology & Staffs team focuses on data engineering for manufacturing, quality, and AI/ML initiatives. You will work with enterprise-scale datasets and cloud data platforms to support industrial analytics. The role offers hands-on experience in building data foundations and communicating technical insights.

    What you'll do#

    • Develop and maintain data pipelines using Python, SQL, and PySpark.
    • Extract, transform, validate, and prepare data for reporting and analytics.
    • Support Databricks and cloud-based data engineering projects.
    • Build dashboards and visualizations to share findings.
    • Document your work and present project results at the end of the internship.

    What you'll need#

    • Current enrollment in an undergraduate or graduate program for Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field.
    • Strong programming skills in Python and SQL.
    • Expected graduation date of December 2027 or later.
    • Availability for 10 weeks during Summer 2027.
    • Willingness to work on-site at the Charlotte location.

    Location & details#

    • Location: Charlotte, North Carolina.
    • Term: Summer 2027.
    • Modality: On-site.
    • This is a paid internship. Please note that 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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