2027 BNY Analyst Program – Engineering (Data Science) (Manchester)
Greater Manchester, United Kingdom
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- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Does not require sponsorship for employment visa status (now or in the future) in the country where applying.
Read the full posting
What you’ll work on
Full postingAnalyze data, perform profiling and feature engineering, and identify patterns, trends, and anomalies.
Support the development of analytical capabilities that strengthen products, platforms, and operations.
Build and automate analytical processes, models, and tools that improve decision-making and efficiency.
From the employer’s posting
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.
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.
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.
Tools in this posting
- Java
- JavaScript
- Python
Source — Tool mentions in context
2027 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
- 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.
Job description
2027 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.
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.
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
Does not require sponsorship for employment visa status (now or in the future) in the country where applying.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on eofe.fa.us2.oraclecloud.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Greater Manchester, United Kingdom
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- On track to achieve a 2.1 or higher - Does not require sponsorship for employment visa status (now or in the future) in the country where applying.
- Status in our records
- Active
- First seen by us
- Sep 17, 2026
- Recorded sightings
- 33
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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