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- Tasks: Work on innovative data solutions and collaborate across departments.
- Company: Leading derivatives exchange in London with a focus on data science.
- Benefits: Competitive salary, part-time hours, and hybrid work options.
- Why this job: Join a dynamic team and enhance your data science skills in a real-world setting.
- Qualifications: Current PhD student with strong skills in statistics, Python, and machine learning.
- Other info: Exciting opportunity starting March 2026 with potential for career growth.
The predicted salary is between 500 - 1500 £ per month.
A leading derivatives exchange in London is seeking a Post-Graduate Data Science Intern to join their Global Data Science department. The role is part-time and allows for hybrid work, focusing on innovative data solutions and collaboration across various departments.
Candidates should be current PhD students with a strong foundation in statistics, Python, and machine learning. The internship starts in March 2026 and offers a competitive salary package.
Emerging Data Science Intern — Postgrad employer: CME Group Inc.
Contact Detail:
CME Group Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Emerging Data Science Intern — Postgrad
✨Tip Number 1
Network like a pro! Reach out to current or former interns at the company through LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data science work. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to statistics, Python, and machine learning. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our application status easily!
We think you need these skills to ace Emerging Data Science Intern — Postgrad
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills in statistics, Python, and machine learning. We want to see how your experience aligns with the role, so don’t be shy about showcasing your projects or research that relate to data science.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Your Projects: If you've worked on any interesting data science projects, make sure to mention them in your application. We’re keen to see practical examples of your skills in action, especially those that demonstrate innovative solutions or collaboration.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at CME Group Inc.
✨Know Your Stats
Brush up on your statistics knowledge before the interview. Be ready to discuss key concepts and how they apply to data science. This will show that you have a solid foundation, which is crucial for the role.
✨Python Proficiency
Make sure you can demonstrate your Python skills. Prepare to talk about specific projects or tasks where you've used Python effectively, especially in relation to machine learning. Practical examples will make you stand out.
✨Understand the Company
Research the derivatives exchange and its role in the market. Knowing their products and how data science fits into their operations will help you tailor your answers and show genuine interest in the position.
✨Collaborative Mindset
Since the role involves collaboration across departments, be prepared to discuss your teamwork experiences. Share examples of how you've worked with others to solve problems or innovate solutions in your past projects.