At a Glance
- Tasks: Explore and analyse data to uncover market insights and support research initiatives.
- Company: G-Research, a leading quantitative research firm in Central London.
- Benefits: Competitive pay, accommodation, free lunch, and 30 days' annual leave.
- Other info: Enjoy a vibrant intern community and excellent work/life balance.
- Why this job: Join a dynamic team and make a real impact in the world of finance.
- Qualifications: Undergraduate or postgraduate in a quantitative field with Python skills.
The predicted salary is between 63000 - 77000 £ per year.
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 to 27th August 2027)
- 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?
- A current undergraduate, master's or Ph D 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
- Good 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/Kaggle profiles
- Experience selecting, developing and refining machine learning models
- Knowledge and/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
Data Science Intern at G-Research employer: Ellis
University College London (UCL) is an exceptional employer that fosters a vibrant and collaborative work culture, particularly within the innovative People and Nature Lab at UCL East. As a Lecturer/Associate Professor of AI for Biodiversity, you will have access to cutting-edge resources and interdisciplinary partnerships, enabling you to make significant contributions to biodiversity science while mentoring the next generation of researchers. UCL prioritises employee growth through competitive funding opportunities and engagement with conservation organisations, making it an ideal place for those seeking meaningful and impactful careers in academia.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Intern at G-Research
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Data Science Intern at G-Research
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Ellis will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Ellis
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Ellis.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Ellis that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
