2027 BNY Summer Internship Program - Engineering (Data Science) - Jersey City, NJ
About The Position
The 2027 BNY Summer Internship Program - Engineering (Data Science) provides high-potential students with a well-rounded, rewarding internship experience with engaging Agile Projects while providing first-hand knowledge of our culture, people, business, and impact within the marketplace. 2027 BNY Summer Internship Program - Engineering (Data Science) interns will participate in a robust technical experience in JavaScript, Python, CSS, Java, and more. The BNY Summer Internship Program offers high-potential students a dynamic 10-week experience designed to accelerate development, build professional networks, and provide meaningful exposure to one of the world's leading financial services institutions. Through a skills-driven talent model, interns gain insight into the capabilities, platforms, and functions that power BNY's global franchise while contributing to impactful business initiatives.
Requirements
- Enrollment in a 4-year undergraduate degree program with a strong focus on business-related and/or technology-related majors preferred.
- Graduating in Dec 2027 or May 2028 (U.S.).
- Minimum cumulative GPA of 3.0 or better.
- Does not require sponsorship for employment visa status (now or in the future) in the country where applying.
Nice To Haves
- Data analysis, feature engineering, and advanced analytics techniques.
- Programming skills across tools and languages such as Python, JavaScript, Java, and related technologies.
- Statistical thinking, problem-solving, and the ability to communicate complex results clearly.
- Exposure to machine learning, distributed computing, and scalable data-driven solutions.
- This role is a strong fit if you enjoy using data to solve complex problems and uncover insights.
- You are excited by programming, analytics, and building practical solutions that can scale.
- You like combining technical skills with business thinking to influence outcomes.
Responsibilities
- Apply data science and analytical methods to solve real business and engineering problems.
- Analyze data, perform profiling and feature engineering, and identify patterns, trends, and anomalies.
- Build and automate analytical processes, models, and tools that improve decision-making and efficiency.
- Partner with teams across engineering and the business to turn data insights into practical recommendations.
Benefits
- Highly competitive compensation
- Benefits and wellbeing programs
- Access to flexible global resources and tools
- Generous paid leaves
- Paid volunteer time
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What This Job Offers
Career Level
Intern
Education Level
Associate degree
