Quant jobs / Hudson River Trading

Data Scientist Intern – 2027

A summer internship on HRT's data science team, which prepares the data that fuels research and trading. Interns clean vendor data and investigate its quality.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Normalise and validate vendor datasets
Extract features from numeric and text data
Apply quality checks to incoming data
Carry out independent data investigations with pandas and polars

What they ask for

Required

Full-time student in a STEM subject
Python at the level of Python for Data Analysis
Curiosity about data
Exceptional attention to detail
Communication skills

Preferred

Independent data projects or Kaggle competitions

Education: Full-time student in a STEM degree; computer science not required.
Experience: Students
Languages and tools: Python
pandas
polars

How to prepare

Clean a messy public dataset with pandas and polars and document the checks
Learn data quality checks such as outliers, gaps and look-ahead bias
Build a small feature extraction pipeline for text data
Complete a Kaggle-style project and write up your findings

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Hudson River Trading’s site before applying: requirements, location and pay can change after we check them.

View the posting on Hudson River Trading’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Hudson River Trading and doesn’t handle applications.