AI & Emerging technologies

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

The Bank of New York Mellon

Manchester · Greater Manchester · United Kingdom

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.

Reference: WJ-5641_117366

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