A 2027 summer analyst internship at BNY Mellon in Manchester, where participants rotate through engineering teams applying data science to real business problems — analyzing and profiling data, feature engineering, and building automated analytical models and tools with Python, JavaScript, and Java in a financial services context.
In the 2027 BNY Summer Analyst Program – Engineering (Data Science), you join a rotational, technically focused experience to solve real business problems with data. You will apply analytics to build scalable solutions and partner with cross‑functional teams to turn insights into action. The program emphasizes hands‑on data science, programming, and exposure to distributed computing in a financial services context. This role offers a meaningful path to impact products, platforms, and operations at a global leader.
Pay / Benefits
competitive compensation
benefits and wellbeing programs
flexible resources for life’s journey
paid leaves
paid volunteer time
strong culture of excellence
Responsibilities
Apply data science methods to address business and engineering challenges
Analyze data, profile data, perform feature engineering, and identify patterns and anomalies
Build and automate analytical processes, models, and tools to improve decision-making and efficiency
Collaborate with engineering and business teams to translate insights into actionable recommendations
Key requirements
Data analysis and feature engineering
Programming in Python, JavaScript, Java, and related technologies
Statistical thinking and ability to communicate complex results clearly
Exposure to machine learning, distributed computing, and scalable data-driven solutions