Data Science Internship

Posted 2 Days Ago
Be an Early Applicant
London, Greater London, England, GBR
In-Office
Internship
Big Data • Fintech • Information Technology • Machine Learning • Financial Services
The Role
10-week on-site Data Science internship in London supporting data discovery, enrichment and analysis for quantitative research. Tasks include data blending, statistical analysis, exploratory data analysis, visualization, building tooling, and collaborating with data scientists to scale and automate data processes.
Summary Generated by Built In

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

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

Skills Required

  • 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
  • Interest in financial markets
  • Ability to work independently on research projects and a willingness to learn
  • 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
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: London
1,039 Employees
Year Founded: 2001

What We Do

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets. We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment.

Similar Jobs

In-Office
London, Greater London, England, GBR
573 Employees

DraftKings Logo DraftKings

Senior Data Science Engineer

Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Hybrid
London, Greater London, England, GBR
6400 Employees

Citadel Logo Citadel

Quantitative Research Analyst - University Graduate (Europe)

Information Technology • Software • Financial Services • Big Data Analytics
In-Office
2 Locations
4000 Employees

Mondelēz International Logo Mondelēz International

Change Manager o9 MEU, Demand Planning

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Remote or Hybrid
9 Locations
90000 Employees

Similar Companies Hiring

Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account