Data Science Intern - Summer 2025
CorningAbout the role
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
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