Undergraduate research internship Work, Jobs (with Salaries)

Data Science Internship
G-Research —London
- Doctoral degree
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- Data analysis skills
- English
- Master's degree

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Data Science Internship

G-Research -
London

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Job details

Internship
7 days ago

Benefits

Annual leave

Qualifications

Doctoral degree
Data analysis skills
Master's degree
Statistical analysis
Machine learning
Natural language processing
GitHub
Communication skills
Python

Full job description

Please only apply for one internship position, choosing the role that best matches your skills and interests. We'll consider your application across all of our research opportunities where appropriate.

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 - 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?

The ideal candidate will have the following skills and experience:

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
Strong 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 or Kaggle profiles
Experience selecting, developing and refining machine learning models
Knowledge 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

Apply Now

Refine Your Search

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