At a Glance
- Tasks: Explore machine learning models and solve real-world challenges in trading systems.
- Company: Jane Street, a leading firm in finance and technology.
- Benefits: Gain hands-on experience, mentorship, and exposure to cutting-edge ML applications.
- Other info: Perfect for undergraduates, PhD students, or postdocs looking to advance their careers.
- Why this job: Join a fast-paced environment and make an impact on innovative trading solutions.
- Qualifications: Practical ML experience, strong Python skills, and fluency in English.
The predicted salary is between 22500 - 27500 £ per year.
Jane Street offers an ML internship in London, where you will work closely with full-time machine learning researchers on real projects from data exploration to modelling.
You’ll iterate quickly, tackle open-ended problems, and learn how research translates to trading systems in a fast-paced environment.
The role is for undergraduates, Ph D students or postdocs with practical ML experience, and requires strong Python skills and fluency in English.
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ML Research Intern: Explore Models & Solve Challenges in City of Westminster employer: Jane Street
At Jane Street, we pride ourselves on being an exceptional employer, offering a unique blend of cutting-edge machine learning research and real-world trading applications. Our collaborative work culture fosters innovation and continuous learning, providing interns with unparalleled access to vast datasets and advanced computing resources. With a focus on personal and professional growth, you'll have the opportunity to work alongside experienced researchers, tackling complex challenges that push the boundaries of machine learning in finance.
StudySmarter Expert Advice🤫
We think this is how you could land ML Research Intern: Explore Models & Solve Challenges in City of Westminster
✨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 ML Research Intern: Explore Models & Solve Challenges in City of Westminster
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 Jane Street 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 Jane Street
✨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 Jane Street.
✨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 Jane Street that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
