2027 BNY Analyst Program – Engineering (Data Science) (Manchester)

Job-ID: 82295

Category: Graduate Programs

Location: Greater Manchester, United Kingdom

Schedule: Full time, Day

Posted:

2 027 BNY Analyst Program – Engineering (Data Science)

The 2027 BNY Summer 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 Summer 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.