Digital & IT Intern, Analyst, Manufacturing AI/ML - Summer 2027

CorningCharlotte, NC
$42,510 - $82,810Onsite

About The Position

The intern will join the Corporate Technology & Staffs team and support modern data engineering solutions for manufacturing, quality, engineering, analytics, and AI/ML initiatives. The role provides hands-on experience with enterprise-scale datasets, cloud data platforms, data pipelines, dashboards, and data foundations that enable industrial analytics and machine learning. The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies. Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes. IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.

Requirements

  • Student pursuing an undergraduate or graduate degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field.
  • Strong programming skills in Python and SQL.
  • Understanding of databases, data structures, problem-solving techniques, communication, and teamwork.
  • Must be available for 10 weeks during Summer 2027 (May-August 2027) with a graduation date of December 2027 or later
  • Be interested in working for Corning, Inc after graduation, if presented with a full-time job opportunity.
  • Be willing to work at the posted job location

Nice To Haves

  • Familiarity with PySpark or Apache Spark, Databricks, Power BI, Tableau, AWS, or other cloud platforms.
  • Interest in data engineering, analytics, manufacturing, and AI/ML.

Responsibilities

  • Develop and maintain data pipelines using Python, SQL, and PySpark.
  • Extract, transform, validate, and prepare data for analytics and reporting.
  • Support Databricks and cloud-based data engineering projects.
  • Build dashboards and data visualizations to communicate insights.
  • Collaborate with data engineers, analysts, and business stakeholders.
  • Document solutions and present project results at the end of the internship.

Benefits

  • Competitive salaries
  • Assistance with housing and travel
  • Meaningful project and final project presentation
  • Social and networking opportunities
  • Weekly tech talks
  • Community involvement
  • Professional development, networking, and experience communicating project outcomes.
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