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

Requisition Number: 77822

The company built on breakthroughs. ​  
Join us.​ 

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.  ​  

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​  

​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​  

​Come break through with us.   

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.

Position Summary

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.

Program Perks

• Competitive salaries
• Assistance with housing and travel
• Meaningful project and final project presentation

Intern Activities

• Social and networking opportunities
• Weekly tech talks
• Community involvement

Key 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.

Education & Experience - Required

• 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
•  

Preferred Qualifications

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

What You'll Gain

• Hands-on experience supporting meaningful Digital & IT work.
• Exposure to enterprise technologies, business processes, and cross-functional collaboration.
• Professional development, networking, and experience communicating project outcomes.

This position does not support immigration sponsorship.

​The range for this position is $1,635.00 - $3,185.00 biweekly. Starting pay for the successful applicant is prescribed based on geographic location, nature of position, and year in school.

A job that shapes a life.  

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at View email address on us.fitly.work .