2026 BNY Analyst Program- Engineering Data Science -Manchester

BNY Mellon; Manchester; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading global financial services company is seeking candidates for its Engineering (Data Science) Program. Located in the UK, this program requires enrollment in a relevant degree and offers valuable experience in applying data analysis to real business challenges. Join a diverse team and enhance your skills in a supportive environment.

Benefits

Competitive compensation

Flexible global resources

Paid leaves including volunteer time

Qualifications

• Must be enrolled in an accredited university/college.
• Graduating in Dec 2025 or July 2026.
• Minimum 2:2 Degree Classification.

Responsibilities

• Apply scientific methods to find solutions to real business problems.
• Perform data analysis and feature engineering.
• Provide insight into business outcomes through analytics.

Skills

Data analysis

Machine Learning

Feature Engineering

Education

Pursuing a bachelor’s degree in computer science/engineering

Job description

Overview

2026 BNY Analyst Program- Engineering (Data Science)

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for our Engineering (Data Science) program. This role is located in Pittsburgh (PA), Lake Mary (FL), New York (NY), or Jersey City (NJ).

Program Eligibility

• Must be enrolled in an accredited university/college pursuing a bachelor’s degree in computer science/engineering or a related technology discipline

• Graduating in Dec 2025 or July 2026

• Minimum 2:2 Degree Classification

• Does not require sponsorship for employment visa status (now or in the future) in the country where applying.

Data Science Responsibilities

• Apply scientific methods to find solutions to real business problems.

• Perform data analysis, feature engineering, and advanced methods to prepare and develop decisions based on data.

• Data mining using state-of-the-art methods.

• Provide insight into observed business outcomes through analytics.

• Perform data profiling to identify and understand anomalies in data.

• Automate data analysis and streamline analytical processes.

• Provide recommendations based on data trends uncovered when possible.

• Stays abreast of organization and management changes and has in-depth knowledge of company practices relevant to data science products.

• Grow and develop skills across the 3 domain specialties: Machine Learning, Feature Engineering and Advanced Analytics capabilities. Stressing expertise in the core functional areas: Computer Programming, Math & Analytic Methodology, Distributed computing, and communications of complex results.

Benefits and Recognition

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

Culture and Equal Opportunity

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.