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

BNY; Pittsburgh (Allegheny County); On-site; USD 34,000 - 44,000; Part time

Benefits offered by this job

Mentorship program

Structured training

Networking opportunities

Job summary

BNY invites high-potential students to a 10-week Summer Internship Program in Engineering (Data Science). You will engage in Agile projects and gain hands-on experience with Python, JavaScript, Java, and related tech while learning about the business and the impact of data science within a global financial services leader.

You will collaborate across engineering and business teams, apply analytical methods to real problems, and build scalable data-driven solutions that inform smarter decisions.

Qualifications

• Enrollment in a 4-year undergraduate degree program is preferred.
• Graduation in Dec 2027 or May 2028 (US) is expected.

Responsibilities

• Apply data science and analytical methods to real business problems.
• Analyze data, perform profiling and feature engineering, identify patterns and anomalies.
• Build and automate analytical processes, models, and tools to improve decision-making.
• Partner with teams across engineering and business to translate data insights into practical recommendations.

Skills

Data analysis

Python

JavaScript

Java

Statistical thinking

Education

Undergraduate degree program

Graduating December 2027 or May 2028 (US)

Job description

Job Description

2027 BNY Summer Internship Program – Engineering (Data Science)

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Engineering (Data Science) Practice

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.

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.

Summer Internship Program

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.

From day one, interns 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 2027 or May 2028 (U.S.).