2027 BNY Analyst Program - Engineering (Data Science) - New York, NY
About the role
The 2027 BNY Analyst Program - Engineering (Data Science) provides high-potential students with a well‑rounded, rewarding rotational experience with engaging Agile Projects while giving first‑hand knowledge of BNY’s culture, people, business, and marketplace impact. Analysts will gain hands‑on experience in JavaScript, Python, CSS, Java, and related technologies.
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.
Skills
- 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.
Qualifications
- Enrollment in a 4‑year undergraduate degree program with a strong focus on business‑related and/or technology‑related majors (preferred).
- Graduating in Dec 2026 or May 2027 (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.
Benefits
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and a pay‑for‑performance philosophy. Employees receive access to flexible global resources and tools for their life’s journey, with a focus on health, personal resilience, and financial goals. Generous paid leaves—including paid volunteer time—are provided to support you and your family during moments that matter.