Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,761 postings in the last year. Stated ranges, not salaries paid.
Data Scientist Intern - 2027
London, United Kingdom; New York, NY, United States
Live, first seen by us 32 days ago- Pay
Multiple pay amounts — pay source
We offer a weekly base salary offer in addition to a competitive signing bonus, company-paid housing, meals, and other perks. New York: Weekly base salary of 5,800 USD London: Weekly base salary of 4,350 GBP We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.
Read the full posting- Work setting
- Not stated
- Employment
Internship — employment source
Employment type in the employer’s posting: Intern
From the employer’s posting
Before you apply
- New graduates
- For current students
You are a full-time student pursuing a degree in a STEM field — a computer science background is not required
What you’ll work on
Full postingNormalize and validate vendor data
Extract features from quantitative and textual data
Apply rigorous quality checks to data
Run independent data investigation projects in Python
From the employer’s posting
normalizing and validating vendor data
extracting features from quantitative and textual data
applying rigorous quality checks
Independent data investigation projects in Python using open-source libraries such as pandas and polars
What you’ll bring
All qualificationsCore experience
- Full-time student pursuing a STEM degree
- Python programming at the level of 'Python for Data Analysis'
- Exceptional attention to detail
- Strong communication skills
Preferred experience
- Independent data projects or Kaggle competitions
Qualification wording
You are a full-time student pursuing a degree in a STEM field
Programming experience with Python at the level of “Python for Data Analysis” by Wes McKinney
Exceptional attention to detail
Strong communication skills
Independent data projects, kaggle competitions, and such are a plus
Tools in this posting
- Python
- pandas
- Polars
Source — Tool mentions in context
- A hands-on introduction to data, modeling, and engineering practices in the algorithmic trading industry - Independent data investigation projects in Python using open-source libraries such as pandas and polars - Opportunities to learn all about HRT's research and trading infrastructure, even in areas you may not be working in directly
- You are a full-time student pursuing a degree in a STEM field — a computer science background is not required - Programming experience with Python at the level of “Python for Data Analysis” by Wes McKinney - A curiosity for working with data and finding insights
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 6, 202632 days ago
- Recorded sightings
- 34
- Last seen by us
- Nov 7, 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
Time since we first saw it
Day 32
Similar jobs usually come down between day 7 and day 57.
From 10,552 similar postings that came down. Coming down is not always a hire.
Hudson River Trading is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
Your next step
Check the employer’s posting for the current role and application details.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Hudson River Trading posted this job before?
Yes. We’ve followed 2 other Data Scientist Intern - 2027 jobs there since September 2026. 2 came down, usually after about 10 days.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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
Hudson River Trading (HRT) is seeking highly motivated full-time students to join our Data Science Summer Internship Program. Data is a cornerstone of HRT’s trading strategies, serving as the raw fuel that powers research, automated trading, and risk management. While Algorithm Developers focus on statistical modeling and Software Engineers focus on the systems that power our trading, HRT Data Scientists focus on extracting useful information from the vast volume of data available in the world. Data Scientists are responsible for normalizing and validating vendor data, extracting features from quantitative and textual data, applying rigorous quality checks, and investigating methodologies for providing the highest quality data for research and trading.
What to Expect
- A hands-on introduction to data, modeling, and engineering practices in the algorithmic trading industry
- Independent data investigation projects in Python using open-source libraries such as pandas and polars
- Opportunities to learn all about HRT's research and trading infrastructure, even in areas you may not be working in directly
- Technical project work and mentorship, with the opportunity to gain a deeper understanding of global financial markets
- Plenty of opportunities to connect with fellow interns, participate in team events, and explore the unique culture, food, and experiences that make each HRT office location and cities special
Qualifications
- You are a full-time student pursuing a degree in a STEM field — a computer science background is not required
- Programming experience with Python at the level of “Python for Data Analysis” by Wes McKinney
- A curiosity for working with data and finding insights
- Independent data projects, kaggle competitions, and such are a plus
- Exceptional attention to detail
- Strong communication skills
We offer a weekly base salary offer in addition to a competitive signing bonus, company-paid housing, meals, and other perks.
New York: Weekly base salary of 5,800 USD
London: Weekly base salary of 4,350 GBP
We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.
Culture
Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.
Please be advised: Use of AI tools by an applicant during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used by an applicant during an interview or an assessment, we reserve the right to immediately end the interview or assessment, disqualify the applicant’s candidacy and/or rescind any job offers extended.
You can review our Global Applicant Privacy Notice, which explains how we process applicant information.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
We offer a weekly base salary offer in addition to a competitive signing bonus, company-paid housing, meals, and other perks. New York: Weekly base salary of 5,800 USD London: Weekly base salary of 4,350 GBP We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.
- Location & working pattern
London, United Kingdom; New York, NY, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
AI answers unavailable
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting