Data Science Intern at G-Research

ELLIS; Greater London; On-site; GBP 27,900 - 50,220; Full time

Benefits offered by this job

Lunch provided

Barista bar

Accommodation

30 days annual leave pro-rated

Job summary

G-Research is offering a 10-week Summer Research Programme in London for students in quantitative subjects. The role focuses on data science practice, applying Python, statistics and ML methods to support data exploration and dataset creation.

You will work with world-class data scientists and engineers, contributing to data blending, validation, and visualisation while learning about multi-asset class strategies and big data development in a growing firm.

Qualifications

• Currently an undergraduate, master's or PhD student in a quantitative subject.
• Strong problem-solving and analytical thinking.
• Experience with Python for data analysis and visualization.

Responsibilities

• Support data science projects by blending datasets, applying statistical methods, and building repeatable analyses.
• Help validate and visualise datasets to inform research directions.
• Collaborate with research and engineering teams in a multi-disciplinary setting.

Skills

Python

Data analysis

Statistics

Communication

Education

Undergraduate student in quantitative field

Tools

GitHub

Kaggle

Job description

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.
From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.
Join a research team where curiosity meets scale. You’ll investigate foundational questions, uncover market insights and push the boundaries of what's possible - all with the support of near-limitless compute and world-class peers.
Take the next step in your career.

The role

• 10-week summer programme (21st June to 27th August 2027)
• 09:00-17:30 working hours
• Based in Central London

Over the course of 10 weeks, G-Research Summer Research Programme interns gain a unique insight into life as a Data Science practitioner at a leading quantitative research firm.
Our business is to predict the future of financial markets, applying scientific techniques to find patterns in large, noisy, and rapidly changing datasets. Our mission as a Data Science team is to help discover, enrich, and analyse data sources that will drive tomorrow’s research initiatives.
In this role, you will apply your knowledge to support the exploration, enrichment, and even creation of new datasets for research. You will use your knowledge of data blending, statistical analysis, and machine learning methods to help scale and automate the way we analyse, validate, and visualise diverse data sources; and you will help build tooling to enable data science initiatives across the company.
This is a team at the forefront of the company’s data strategy, responsible for finding solutions to some of the many important data challenges within the firm, meaning you will have a unique opportunity to make an impact from the beginning. The successful candidate will be comfortable working within a multi-disciplinary team, collaborating with industry leading data scientists and financial experts, developing solutions that adapt to a rapidly changing data landscape.
The role will offer exposure to cutting-edge technologies in a high-growth industry, with opportunities to learn about multi-asset class systematic investing and big data development in an innovative and forward-thinking firm.

Who are we looking for?

• A current undergraduate, master's or PhD student in a quantitative subject
• Strong critical thinking skills and exceptional problem-solving ability
• Comfortable applying statistical concepts to real-world data
• Experience using Python, including for exploratory data analysis and visualisation
• Good communication skills
• An interest in financial markets
• Ability to work independently on research projects and a willingness to learn

The following would also be beneficial

• Active Git Hub/Kaggle profiles
• Experience selecting, developing and refining machine learning models
• Knowledge and/or interest in Natural Language Processing
• Demonstrable proficiency in statistical data analysis

Why should you apply

• Highly competitive compensation plus accommodation
• G-Research community with weekly intern activities
• Lunch provided (via Just Eat for Business) and dedicated barista bar
• 30 days’ annual leave pro-rated
• Informal dress code and excellent work/life balance
• Central London office close to 5 stations and 6 tube lines