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

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.