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G-Research

Data Science Internship

London
Posted about 24 hours ago
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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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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

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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

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.

We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.

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Skills

Python
Statistical Analysis
Machine Learning
Data Blending
Data Visualisation
Critical Thinking
Problem Solving
Communication Skills
Exploratory Data Analysis
Natural Language Processing
Git
Kaggle

Location

London, England, United Kingdom

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