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

The Bank of New York Mellon Corporation
Manchester, UK
1 day ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
£67,467.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) JavaScript (Programming Language) Data Analysis Cascading Style Sheets (CSS) Profiling Computer Programming Distributed Systems Python (Programming Language) Machine Learning Feature Engineering Data Analytics

Job description

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.

Requirements

  • You are excited by programming, analytics, and building practical solutions that can scale.

  • You like combining technical skills with business thinking to influence outcomes.

Benefits & conditions

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.

  • 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 3-4 year undergraduate degree program with a strong focus on business-related and/or technology-related majors preferred

  • Graduating in Dec 2026 or May 2027

  • On track to achieve a 2.1 or higher

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.co.uk
Prepare application

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