Natural Language Processing Internship

Natural Language Processing Internship

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.

We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.

This is a role based in our new Soho Place office – opened in 2023 – in the heart of Central London and home to our Research Lab.

The role

• 10-week summer programme (22nd June to 28th August 2026)
• 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 Natural Language Processing (NLP) practitioner at a leading quantitative research firm.

Our full-time NLP researchers use a wide range of tools and techniques in an applied setting, putting their expertise to use in direct, production-ready applications with immediate results. They have access to vast computing resources and are limited only by their imagination.

As an NLP intern, you will have the opportunity to experience this as part of a 10-week programme working on a meaningful and challenging research project that demands the application of innovative yet pragmatic mathematical and computational analysis.

You will be paired with a mentor who will supervise your work and provide ongoing feedback to help you improve and develop, as well as access to senior staff who are leaders in their fields. Your internship will culminate in a final presentation of your research ideas to senior management.

Taking part in G-Research's Summer Internship Programme will give you an in-depth insight into our academic approach to the world of quantitative research and allow you to explore the thriving city of London, while you get to know your fellow interns and colleagues through a full itinerary of fun social events.

Top performers on the programme will be considered for full-time opportunities on completion of their studies.

Who are we looking for?

The ideal candidate will, at a minimum, have experience in the following areas:

• A post-graduate degree in Natural Language Programming or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle. PhD level study is preferred
• Experience working with large-scale, noisy text datasets and building models for information extraction, sentiment analysis or semantic understanding
• Publications at top-tier NLP or machine learning venues, such as ACL, EMNLP, NAACL, NeurIPS and ICML are advantageous
• Strong coding skills in Python and experience with modern ML frameworks, such as PyTorch and TensorFlow
• Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don't always work with our data, so you will need to understand how to develop your own models
• Previous experience in finance is not required, although an interest in finance and the motivation to rapidly learn more is a prerequisite for working here.

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
• Location: London

Interview process

• Stage One: Online Quant Quiz: You will be asked to complete one of two quant quizzes; either a general quantitative aptitude assessment, or an ML specific one, depending on your background.
• Stage Two: Technical Interviews: Typically, you will sit four interviews, one of which will focus on in-depth technical questions in mathematics. Each interview will last one hour. If your profile is better suited to ML, you’ll complete two one-hour interviews, which will focus on your ML knowledge, but do expect to answer questions on mathematics, programming and stats that are relevant to the ML space as well!
• Stage Three: Leadership Interviews: Following the successful completion of the technical interviews, you will meet some of our leaders.
• Online Application: Quick and easy: We will ask for your CV/resume and a few personal details like your education and contact information. Our Talent Acquisition team will review your application to see if you are a good fit and you will receive an update on the status of your application within one week of applying.

How to apply

To apply for this role and to find out more, please click on the apply button. Please note that applications may close before the application deadline, so apply early to avoid disappointment.