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2027 BNY Summer Internship Program - Engineering (Data Science) - New York, NY

New York, NY, United States

Live, first seen by us 76 days ago
Pay
$52,000–110,000/year · BaseLocation-specific pay — pay source
Does not require sponsorship for employment visa status (now or in the future) in the country where applying. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $52,000 and $110,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and company- sponsored benefit programs. This position is at-will and the Company reserves the right to modify base (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team.
Read the full posting
Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates
For current studentsEnrollment in a 4-year undergraduate degree program with a strong focus on business-related and/or technology-related majors preferred
Work authorization
Must already have the right to workDoes not require sponsorship for employment visa status (now or in the future) in the country where applying

What you’ll work on

Full posting
  • Apply data science and analytical methods to real business and engineering problems

  • Analyze data, profile it, engineer features, and spot patterns and anomalies

  • Build and automate analytical processes, models, and tools

  • Partner with engineering and business teams to turn insights into recommendations

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.
Partner with teams across engineering and the business to turn data insights into practical recommendations.

What you’ll bring

All qualifications

Core experience

  • Enrolled in a 4-year undergraduate degree program
  • Graduating December 2027 or May 2028 (U.S.)
  • Minimum cumulative GPA of 3.0
  • Programming skills in Python, JavaScript, or Java
  • Not requiring visa sponsorship for employment
Qualification wording
Enrollment in a 4-year undergraduate degree program
Graduating in Dec 2027 or May 2028 (U.S.)
Minimum cumulative GPA of 3.0 or better.
Programming skills across tools and languages such as Python, JavaScript, Java, and related technologies.
Does not require sponsorship for employment visa status (now or in the future) in the country where applying.
Apply at BNY Mellon

Posting record

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Status in our records
Live
First seen by us
Aug 25, 202676 days ago
Recorded sightings
258
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$194K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,819 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 76

Up longer than most. Similar jobs usually come down between day 7 and day 57.

Well past BNY Mellon’s usual: its jobs come down by about day 26.

From 10,789 similar postings that came down, and 97 of BNY Mellon’s. Coming down is not always a hire.

BNY Mellon is hiring

58 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • JavaScript
  • Python
Where the posting names them
Engineering (Data Science) Practice The 2027 BNY Summer Internship Program - Engineering (Data Science) provides high-potential students with a well-rounded, rewarding internship experience with engaging Agile Projects while providing first-hand knowledge of our culture, people, business, and impact within the marketplace. 2027 BNY Summer Internship Program - Engineering (Data Science) interns 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.

Your next step

Complete your application on eofe.fa.us2.oraclecloud.com. The employer’s form will show what is required.

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,139.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

2027 BNY Summer Internship 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.

Engineering (Data Science) Practice

The 2027 BNY Summer Internship Program - Engineering (Data Science) provides high-potential students with a well-rounded, rewarding internship experience with engaging Agile Projects while providing first-hand knowledge of our culture, people, business, and impact within the marketplace. 2027 BNY Summer Internship Program - Engineering (Data Science) interns 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.
     

Summer Internship Program 

The BNY Summer Internship Program offers high-potential students a dynamic 10-week experience designed to accelerate development, build professional networks, and provide meaningful exposure to one of the world's leading financial services institutions. Through a skills-driven talent model, interns gain insight into the capabilities, platforms, and functions that power BNY's global franchise while contributing to impactful business initiatives.

From day one, interns 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 4-year undergraduate degree program with a strong focus on business-related and/or technology-related majors preferred.
  • Graduating in Dec 2027 or May 2028 (U.S.). 
  • Minimum cumulative GPA of 3.0 or better.    
  • Does not require sponsorship for employment visa status (now or in the future) in the country where applying.  

 

BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $52,000 and $110,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and company- sponsored benefit programs.

This position is at-will and the Company reserves the right to modify base (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team. 

Source details

View original posting ↗

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Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Does not require sponsorship for employment visa status (now or in the future) in the country where applying. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $52,000 and $110,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and company- sponsored benefit programs. This position is at-will and the Company reserves the right to modify base (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team.
Location & working pattern

New York, NY, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Minimum cumulative GPA of 3.0 or better. - Does not require sponsorship for employment visa status (now or in the future) in the country where applying. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $52,000 and $110,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and company- sponsored benefit programs.

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