At a Glance
- Tasks: Develop production-ready data tools and collaborate on innovative quantitative research projects.
- Company: Rapidly growing start-up backed by leading venture capitalists.
- Benefits: Dynamic internship with hands-on experience and potential for full-time conversion.
- Other info: Engage in a fast-paced environment with diverse, entrepreneurial thinkers.
- Why this job: Make a real impact at the intersection of maths, coding, and finance.
- Qualifications: STEM, Mathematics, Physics, Engineering, Economics or Finance student with strong Python skills.
The predicted salary is between 22500 - 27500 £ per year.
Who We Are
We are a rapidly growing start-up, backed by leading venture capitalists.
We love information because it helps people make better decisions and drives innovation.
The information economy is just getting started and our suite of information and data processing software products are starting to help people unlock the true power of information.
Our journey starts in finance and capital markets where information moves trillion dollar markets, but this is just the beginning.
Read a spotlight on Intropic here.
Join us to help the world unlock the true power of information.
Who We Look For
We are looking for individuals who not only possess strong technical and analytical skills but also have an entrepreneurial spirit and want to make an impact.
We’re looking for top-tier talent, driven innovators and problem solvers to join our 2026 internship program - a unique opportunity to work across a spectrum of disciplines.
If you have founded your own venture, built a product from the ground up, or launched an ambitious project during your studies, we want to hear from you!
- Apply to us if -
- You are a STEM, Mathematics, Physics, Engineering, Economics or Finance student (undergraduate or masters) eligible for a 10-week internship role in 2026 with a possibility to convert to full time work after the internship.
- Strong interest in operating at the intersection of maths, coding, and finance, with a desire to develop across all three.
- Solid Python skills, with the ability to write clean, maintainable code (experience with SQL, Num Py, Pandas or similar is a plus).
- You enjoy translating quantitative ideas into working systems, not just modelling on paper, but actually building things that run.
- Experience working with data (financial or otherwise), applying statistical thinking to analyse, transform, and extract insights.
- Are a self starter, comfortable taking initiative and working independently in a past faced and dynamic environment.
- Comfortable with ambiguity and ownership; able to make progress without perfectly defined tasks.
- Strong analytical thinking combined with clear communication skills, both for technical and non-technical audiences.
- Genuine interest in financial markets and how quantitative research can drive real-world decisions
- What you'll be doing
- Work at the intersection of quantitative research and engineering, developing research ideas while also making production-ready tools and data products.
- Build and extend Python-based systems for analysing and processing large financial datasets.
- Develop data pipelines, APIs, and internal tools that power real trading and research workflows.
- Collaborate closely with other researchers, engineers and product leads to define problems and ship solutions end-to-end.
- Contribute to the implementation and operationalisation of quantitative models, ensuring they are robust, scalable, and reproducible.
- Analyse financial data using Python and SQL, and help surface insights that feed directly into product and research decisions.
- Participate in deploying and maintaining systems in production environments (cloud, CI/CD, monitoring).
- Engage with internal stakeholders (and occasionally clients) to understand how your work is used and iterate based on feedback.
- Take ownership of a meaningful project over the 10 weeks, with the opportunity to shape both the technical approach and the outcome.
- Why Join Us
This 10 week internship will offer you the opportunity to experience a dynamic, multi-disciplinary role where no two days are the same.
You will be working with a diverse group of smart, passionate, and entrepreneurial thinkers who will help you grow and refine your skills, providing you with opportunities that will unlock your potential.
*Please note that we do not provide immigration sponsorship for this position. This internship is on-site at our offices in 30 Churchill Place, E14 5RE, London.
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Quantitative Engineering Intern: Build Production-Ready Data Tools employer: Entrepreneur First
At our company, we pride ourselves on fostering a dynamic and supportive work culture that empowers entry-level employees to thrive. Located in vibrant London or RTP, North Carolina, we offer comprehensive training and mentorship opportunities that enable you to develop essential skills in business development while working alongside experienced professionals. Join us to be part of a team that values your ambition and drive, providing a platform for meaningful career growth and success.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Engineering Intern: Build Production-Ready Data Tools
✨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 Quantitative Engineering Intern: Build Production-Ready Data Tools
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 Entrepreneur First 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 Entrepreneur First
✨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 Entrepreneur First.
✨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 Entrepreneur First that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
