Apply for the G-Research Data Science Internship 2027 in London. The 10-week summer programme offers competitive compensation, accommodation support, practical experience in machine learning and exposure to quantitative financial research.
Background & Job Description
G-Research is offering a 10-week Data Science Summer Internship for 2027 at its headquarters in Central London, United Kingdom. The programme is designed for students interested in data science, statistical analysis, machine learning and quantitative finance.
Interns will work with experienced data scientists and financial researchers to investigate complex datasets, discover patterns and develop tools that support financial market research.
The internship provides practical exposure to data exploration, data enrichment, statistical modelling and automation. Participants will also learn about systematic investing, big data development and the use of scientific methods to analyse financial markets.
Internship Overview
| Detail | Information |
|---|---|
| Organisation | G-Research |
| Opportunity | Data Science Internship |
| Location | Central London, United Kingdom |
| Duration | 10 weeks |
| Start date | 21 June 2027 |
| End date | 27 August 2027 |
| Working hours | 9:00 a.m.–5:30 p.m. |
| Eligible applicants | Current undergraduate, master’s and PhD students in quantitative subjects |
| Compensation | Highly competitive; exact amount not specified |
| Additional benefits | Accommodation support, lunch and other advertised benefits |
| Application deadline | Not specified in the supplied listing |
Tasks
Interns will contribute to data science projects supporting quantitative financial research. Responsibilities include exploring and enriching datasets, analysing statistical patterns and applying machine learning methods to help identify useful information.
Participants may also develop and improve processes for blending, validating and visualising data from different sources. Additional activities include building tools that automate data analysis and support research initiatives.
The role involves collaborating with data scientists, engineers and financial experts to solve problems involving large, complex and rapidly changing datasets.
Qualifications
Education and Certification
Applicants must currently be studying towards an undergraduate, master’s or PhD qualification in a quantitative subject.
The supplied advertisement does not specify a particular degree title or a minimum academic grade.
Experience and Skills
Candidates should demonstrate strong critical-thinking and problem-solving abilities, along with experience applying statistical concepts to real-world data.
Experience using Python for exploratory data analysis and data visualisation is required. Strong communication skills, an interest in financial markets and the ability to work independently on research projects are also important.
The following are additional advantages:
- Active GitHub or Kaggle profiles.
- Experience selecting, developing and refining machine learning models.
- Knowledge of, or interest in, natural language processing.
- Demonstrable proficiency in statistical data analysis.
Additional Information
Compensation and Benefits
G-Research advertises highly competitive compensation for the internship, with accommodation support also highlighted in the programme information. The exact payment amount is not stated.
Other advertised benefits include lunch provided through Just Eat for Business, access to a dedicated barista bar, intern activities throughout the programme and an informal working environment.
The vacancy page also highlights annual discretionary bonuses, company pension contributions and generous annual leave among its listed benefits. Applicants should confirm which benefits and arrangements apply specifically to interns.
Application Process
Candidates should prepare an up-to-date CV and submit it through the official G-Research vacancy page.
The company advises applicants to apply for only one internship position. Where appropriate, the recruitment team may consider the application across other research opportunities.
The supplied listing does not state an application deadline, so candidates should check the official website for the current vacancy status.
Official website: https://www.gresearch.com/
Frequently Asked Questions
1. When does the G-Research Data Science Internship 2027 begin?
The programme is scheduled to run from 21 June to 27 August 2027.
2. How long does the internship last?
The internship lasts 10 weeks.
3. Where is the internship located?
The programme is based at G-Research’s headquarters in Central London, United Kingdom.
4. Who can apply for the internship?
Current undergraduate, master’s and PhD students studying quantitative subjects may apply.
5. Is Python experience required?
Yes. The advertisement identifies Python experience, including exploratory data analysis and visualisation, as part of the desired candidate profile.
6. Is the G-Research internship paid?
The company advertises highly competitive compensation, but the exact amount is not provided in the supplied listing. Accommodation support is also highlighted.
7. What technical skills are advantageous?
Machine learning, statistical data analysis, natural language processing and experience using GitHub or Kaggle can strengthen an application.
8. Is accommodation provided?
Accommodation is highlighted in the internship benefits section. Applicants should confirm the specific arrangements and eligibility conditions with G-Research.
9. What is the application deadline?
The supplied listing does not specify a closing date. Applicants should consult the official vacancy page for the latest information.
Opportunities Feed Assessment
The G-Research Data Science Internship may suit students with strong quantitative skills who want to apply Python, statistics and machine learning to financial market research. The 10-week programme offers practical project experience, collaboration with experienced researchers and exposure to large-scale data analysis.
Applicants should ensure they meet the student eligibility requirements, demonstrate practical Python skills and verify the compensation and accommodation arrangements before accepting an offer.
Disclaimer: Opportunities Feed shares career and educational opportunities for informational purposes. We are not affiliated with G-Research and do not recruit on the company’s behalf. Applicants should consult the official employer website for authoritative information.
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