Rotational Data Science Engineer Analyst Program

Socket.dev; New York (NY); On-site; USD 65,000 - 90,000; Full time

Job summary

BNY Mellon offers a 24-month Analyst Program in Engineering (Data Science) designed to develop high-potential students through structured rotations and hands-on projects. Analysts work across data science, analytics, and software engineering, applying tools like Python, JavaScript, Java, and more.

Participants gain exposure to machine learning, distributed computing, and scalable data-driven solutions while contributing to real business outcomes at a global financial services leader.

Qualifications

• Pursuing a 4-year undergraduate degree in a business-related or technology-related field.
• Graduating in Dec 2026 or May 2027 (U.S.).
• Minimum cumulative GPA of 3.0 or better.
• No sponsorship required for employment visa status (now or in the future).

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

Python

JavaScript

Java

Statistical thinking

Machine learning

Distributed computing

Education

Undergraduate student (4-year degree)

Graduating May 2027 or Dec 2026

GPA 3.0+

Tools

Python

JavaScript

Java

Job description

BNY Mellon offers a 24-month Analyst Program in Engineering (Data Science) designed to develop high-potential students through structured rotations and hands-on projects. Analysts work across data science, analytics, and software engineering, applying tools like Python, JavaScript, Java, and more.

Participants gain exposure to machine learning, distributed computing, and scalable data-driven solutions while contributing to real business outcomes at a global financial services leader.