Data Science Internship

G-Research is a leading quantitative research firm that tackles the most complex problems in quantitative finance, bringing scientific clarity to financial complexity. From their London HQ, they unite world-class researchers and engineers in an environment that values deep exploration and methodical execution.

The role is a 10-week summer programme running from 21st June to 27th August 2027, with working hours of 09:00–17:30, 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. The business is to predict the future of financial markets, applying scientific techniques to find patterns in large, noisy and rapidly changing datasets. The Data Science team's mission 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 GitHub or Kaggle profiles
- Experience selecting, developing and refining machine learning models
- Knowledge or interest in natural language processing
- Demonstrable proficiency in statistical data analysis

Benefits:
- 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