At a Glance
- Tasks: Develop innovative software solutions and collaborate on exciting projects in finance.
- Company: Fast-growing start-up backed by top venture capitalists, focused on the information economy.
- Benefits: Gain hands-on experience, mentorship, and potential full-time opportunities after the internship.
- Other info: 10-week internship in London with diverse, passionate colleagues.
- Why this job: Join a dynamic team and unlock your potential while making a real impact.
- Qualifications: STEM, Economics or Finance students with programming skills and entrepreneurial spirit.
The predicted salary is between 20000 - 30000 £ 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. 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!
- You are a full-time STEM, Economics or Finance undergraduate or masters student who is eligible for an internship role in 2026, with possibility to convert to full time after the internship.
- Have experience programming in Python, C/C++, Java and/or experience with statistical analysis, numerical programming, or machine learning in Python, Pandas, R.
- Are an ambitious entrepreneur with a track record of exceptional intellectual achievement.
- Are a self starter, comfortable taking initiative and working independently in a fast paced and dynamic environment.
- Have excellent analytical and problem-solving skills (quantitative prowess), and exceptional cognitive agility.
- Have the ability to grasp complex topics and apply knowledge across various disciplines.
- Have intellectual curiosity & ability to get deep into the details to solve tough problems.
- Are a creative collaborator who thrives in constantly evolving and changing environments.
- Have experience founding or leading a major project with end to end responsibility at university.
- Have proven leadership or team management in a university project, startup, or other entrepreneurial initiative.
- Have excellent written & oral communication skills.
- Have a passion for financial markets and a passion for using technology to solve real world problems.
What you’ll be doing
This internship program is designed to help you develop skills in either client facing roles, financial research, and/or building technical solutions. All candidates who are successful in the process will be assessed and placed into an area of expertise based on their unique skillset, for the duration of the 10 week program. We’ll work together to help you find the area where you can excel. Regardless of the area you focus on, a core understanding of capital markets and financial research is essential.
You will be expected to deliver work with a high degree of independence. You will be involved in debugging Python, deploying infrastructure changes, talking to product early-adopters, and strategic planning with the product team leads. You will be developing REST APIs, data processing pipelines, python libraries, and deploying production-quality code, as well as maintaining and monitoring production systems. You will be contributing to the provision of technical support and consultation, including exposure to resolving client issues, capturing underlying business implications of client queries and helping to feed this information into Intropic product development cycle. Analysing and improving client contact regarding queries and assistance provided. Supporting client use of research functionality. Assisting with workflow testing of bespoke solutions developed by Intropic for clients. Gaining a deeper understanding of business reasons for client product enhancement requests. Liaising between the various interested parties (Client, Account management, Engineering teams) to interpret/clarify requirements as necessary to facilitate the successful development and delivery of the bespoke projects.
You are expected to be a team player and an excellent cross-departmental communicator, with the ability to communicate to both technical and nontechnical audiences. Involved in the presentation of the vision, value proposition, and development progress to business leadership, sales, engineering and our client stakeholders.
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.
Quantrepreneur - Quantitative Development employer: Dormont Manufacturing Co
At Intropic, we pride ourselves on being a rapidly growing start-up that fosters an innovative and entrepreneurial work culture. Our London office offers a dynamic environment where interns can collaborate with passionate professionals, gain hands-on experience in quantitative development, and unlock their potential through diverse projects. With a focus on personal growth and skill refinement, we provide a unique opportunity to make a meaningful impact in the information economy while working alongside top-tier talent.
StudySmarter Expert Advice🤫
We think this is how you could land Quantrepreneur - Quantitative Development
✨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 Quantrepreneur - Quantitative Development
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 Dormont Manufacturing Co 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 Dormont Manufacturing Co
✨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 Dormont Manufacturing Co.
✨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 Dormont Manufacturing Co that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
