Requisition Number: 67246

Corning is vital to progress – in the industries we help shape and in the world we share.

We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.

Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers. 

Corning’s businesses are ever evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, and automotive markets. We are changing the world with: 

•    Trusted products that accelerate drug discovery, development, and delivery to save lives
•    Damage-resistant cover glass to enhance the devices that keep us connected
•    Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
•    Precision glass for advanced displays to deliver richer experiences 
•    Auto glass and ceramics to drive cleaner, safer, and smarter transportation 

Role Purpose

The Data Scientist Intern position is an exciting opportunity to be a part of Corning's Data Science & Intelligence team, which delivers modeling solutions to support high stakes strategic decisions and financial operations in a large and diverse Fortune 500 company. This role is part of the Finance Function and will contribute to transforming decision science within corporate finance and across the company. The Data Scientist Intern will get to work on a Data Science project that leverages state-of-the-art methodology that fits their and the group’s interests. Commonly used methodologies include time series models, Bayesian modeling, tree-based methods, clustering, reinforcement learning, deep learning, and text-mining. The candidate should have interest in applying these methods to advance Corning’s decision-making capability within the Finance function.

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

• Thinking creatively to frame business problem in terms of machine learning tasks
• Conducting research on state-of-the-art methodologies and experimenting with new machine learning methods
• Executing machine learning methodologies appropriate for selected project
• Contributing high quality code to project repositories
• Sharing learnings and modeling results in presentations to different stakeholders

Experiences/Education - Required

• Currently enrolled in a BS, MS, or PhD program in a quantitative discipline (Mathematics, Statistics, Computer Science, Economics, Finance, Data Science)
• Course work and/or experience in applied statistics, machine learning, or data science
• Course work and/or interest in Finance, Economics, or Operations Management is a plus
• Ability to both work independently and as part of highly collaborative teams
• Able to convert research work into production to solve real problems
• Must be inquisitive and open to challenging traditional processes and thinking
• Self-driven for continual learning and ongoing training/development
• Able to present technical analysis to senior level stakeholders
• Track-record of publication in academic journals or conference is a plus
• Must be available for 10 weeks during Summer 2025 (May-August 2025) with a graduation date of December 2025 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

Technical Competencies:

• Strong competency with Python and the Python data science ecosystem
• Experience scripting with SQL
• Experience working in Linux/Unix environment
• Experience with git source control platforms like GitLab or GitHub
• Familiarity with development tools such as Docker is a plus
• Familiarity with Databricks, and AWS Machine Learning platforms is a plus
• Experience with distributed computational frameworks (Spark, Dask, etc) is a plus

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.

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 accommodations@corning.com.