2027 BNY Analyst Program - Engineering (Data Science) - Pittsburgh, PA

BNY Mellon; Pittsburgh (Allegheny County); On-site; USD 55,000 - 75,000; Full time

Job summary

BNY Mellon is seeking high-potential undergraduates for its 2027 Analyst Program in Engineering (Data Science). You will apply data science methods, analyze data, and build automated analytics to improve decision-making and efficiency within a structured 24‑month rotation.

The program emphasizes hands-on experience with Python, JavaScript, Java, and related technologies, while embedding you in a collaborative, outcomes-driven culture designed to develop future leaders in a global financial

Qualifications

• Enrollment in a 4-year undergraduate degree program.
• Graduating Dec 2026 or May 2027 (U.S.)
• Minimum cumulative GPA of 3.0 or better
• Does not require sponsorship for employment visa status in the country where applying.

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

Python

JavaScript

Java

Communication

Education

Undergraduate degree program

Graduating in 2026/2027

Tools

Python

JavaScript

Java

Job description

2027 BNY Analyst Program - Engineering (Data Science)

The 2027 BNY Analyst Program - Engineering (Data Science) provides high-potential students with a well-rounded, rewarding rotational experience with engaging Agile Projects while providing first‑hand knowledge of our culture, people, business, and impact within the marketplace. 2027 BNY Analyst Program - Engineering (Data Science) analysts will participate in a robust technical experience in JavaScript, Python, CSS, Java, and more.

What you will do

• 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 you will build

• 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.

Impact you will have at BNY

• Help teams better understand business outcomes through data‑driven insight and analysis.
• Contribute to solutions that improve processes, uncover opportunities, and support smarter decisions.
• Support the development of analytical capabilities that strengthen products, platforms, and operations.
• See how data science can drive meaningful impact at a global financial services leader.

Why this could be a fit for you

• 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.

Analyst Program

Our 24-month rotational Analyst Program is designed to set you up for success from day one. New joiners take part in a structured induction experience to help them assimilate into BNY, learn about the organization, connect with peers and leaders, and build the core skills needed to navigate their early career with confidence.

From day one, analysts are immersed in BNY's collaborative and innovative culture through:

• Enterprise‑wide onboarding and development programming, including an in person immersive induction experience, executive speaker series, skill development, and networking opportunities.
• Meaningful project work aligned to key business practices and platforms, providing hands‑on experience, skill development, and real‑world business impact.
• Structured mentorship and career support from managers, senior leaders, peer mentors, business stakeholders, and dedicated program managers.
• Exposure across practices, platforms, and teams, building a broad understanding of BNY's integrated business model.
• Professional, technical, and financial services training designed to strengthen business acumen and prepare participants for long‑term career success.
• A premier early‑career experience, backed by senior leadership and designed to develop the next generation of talent for BNY's global workforce.

Program eligibility:

• 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 countrywhere applying.