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
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ELLIS!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science Intern at G-Research at ELLIS.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ELLIS.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Intern at G-Research at ELLIS, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science Intern at G-Research
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ELLIS, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ELLIS. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ELLIS
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ELLIS!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
