2026 BNY Analyst Program - Engineering Data Science (Manchester)

BNY
Manchester
4 months ago
Create job alert
Overview

2026 BNY Analyst Program - Engineering Data Science is a 24-month program located in Manchester. The program offers rotational experiences designed to prepare you for your future career, with projects across the line of business to provide a panoramic view of BNY’s global franchise. You will work on high-priority initiatives and develop analytical and interpersonal skills, with exposure to senior leadership and a peer mentor. Upon successful completion, you will be considered for high impact roles in multiple functions.

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 data-driven decisions.
  • 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.
  • Stay abreast of organization and management changes and have in-depth knowledge of company practices relevant to data science products.
  • Grow and develop skills across the domain specialties of Machine Learning, Feature Engineering, and Advanced Analytics, with emphasis on Computer Programming, Math & Analytic Methodology, Distributed computing, and communicating complex results.
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.
About BNY and Awards

BNY is recognized as a leading global financial services company. The organization emphasizes inclusion and innovation and has been recognized with several awards, including:

  • America’s Most Innovative Companies, Fortune, 2025
  • World’s Most Admired Companies, Fortune 2025
  • Most Just Companies, Just Capital and CNBC, 2025
Benefits and Culture

BNY offers highly competitive compensation, benefits, and wellbeing programs, with a focus on flexibility, health, resilience, and financial goals. The company supports paid leaves, including paid volunteer time, and is an Equal Employment Opportunity/Affirmative Action Employer.

Job Function and Location
  • Engineering and Information Technology
  • Location: Manchester, England, United Kingdom

Referrals increase your chances of interviewing at BNY.


#J-18808-Ljbffr

Related Jobs

View all jobs

2026 BNY Analyst Program - Engineering Data Science (Manchester)

2026 BNY Summer Internship Program - Engineering Data Science - Manchester

2026 Graduate Machine Learning Engineer - Applied AI

2026 Summer Internship Programme - Artificial Intelligence & Quant, London

Machine Learning Engineer/Researcher - 2026 Graduate Programme

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.