At a Glance
- Tasks: Apply data science to solve real business problems and improve decision-making.
- Company: Join BNY, a global leader in financial services with a collaborative culture.
- Benefits: Gain hands-on experience, mentorship, and professional development opportunities.
- Other info: 24-month rotational program designed for career growth and success.
- Why this job: Use your programming skills to make a meaningful impact in a dynamic environment.
- Qualifications: Pursuing a degree in business or technology with strong analytical skills.
The predicted salary is between 44550 - 54450 £ per year.
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.
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.
2027 BNY Analyst Program – Engineering (Data Science) (Manchester) employer: BNY Mellon
At BNY, we pride ourselves on fostering a culture that champions innovation and employee growth, making us an exceptional employer in the heart of London. Our commitment to competitive compensation, comprehensive benefits, and a supportive work environment empowers our team members to thrive both personally and professionally. Join us to be part of a dynamic team that not only drives transformative solutions in finance but also uplifts communities worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land 2027 BNY Analyst Program – Engineering (Data Science) (Manchester)
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace 2027 BNY Analyst Program – Engineering (Data Science) (Manchester)
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at BNY Mellon will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at BNY Mellon
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress BNY Mellon.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show BNY Mellon that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
