Quant jobs / G-Research

Data Science Internship

A 10-week summer internship in G-Research's Data Science team, which finds, enriches and analyses datasets for research. The intern helps scale and automate how data is validated and visualised.

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.

Explore, enrich and sometimes create new research datasets
Blend and analyse diverse data sources with statistics and ML
Build tooling to automate validation and visualisation of data
Support data initiatives across the company

What they ask for

Required

Current undergraduate, master's or PhD student in a quantitative subject
Critical thinking and problem solving
Statistics on real-world data
Python for exploratory analysis and visualisation
Communication
Interest in markets

Preferred

GitHub or Kaggle profile
ML model development
NLP interest
Statistical data analysis

Education: Current undergraduate, master's or PhD student in a quantitative subject
Experience: Students able to work independently on research projects
Languages and tools: Python
Markets: multi-asset

How to prepare

Do an exploratory analysis of an unfamiliar dataset and publish it with clear charts
Build automated data-quality checks in Python
Practise statistical testing and pitfalls such as leakage
Try a simple NLP or ML enrichment of a text dataset

What to study

Apply

Read the full posting on G-Research’s site before applying: requirements, location and pay can change after we check them.

View the posting on G-Research’s site ↗

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