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For Companies At a Glance
- Tasks: Collaborate on innovative data solutions and apply AI to real business challenges.
- Company: Join CME Group, the leading derivatives marketplace with a diverse and inclusive culture.
- Benefits: Competitive salary, hybrid work schedule, and opportunities for professional growth.
- Why this job: Make a global impact while working with cutting-edge technology in data science.
- Qualifications: Current PhD student in a quantitative field with strong programming skills.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 1300 - 1600 £ per month.
Paid – Competitive Salary (10-month, part-time contract)
Note: Candidates must have at least 6 months of education remaining following the internship.
Start: March 2026
About the Role
CME Group is the world's leading and most diverse derivatives exchange. This role sits within the Global Data Science department, a key thought leadership group that identifies and promotes significant market and client opportunities. Our team is highly collaborative and collegial, bringing together expertise in AI, statistics, and derivatives to solve complex business issues across the EMEA and APAC regions. We are looking for an ambitious Post-Graduate student to join our London team to help build the next generation of data products.
Responsibilities
- Strategic Collaboration: Work across sales, marketing, product, and research divisions to drive data utilization and build solutions for various business units.
- Innovation & Prototyping: Brainstorm, design, and implement new models and internal/external tools. We embrace a "fail fast" mentality to deliver high-value insights.
- Application of AI & ML: Proficiency in applying AI or machine learning models to real business problems.
- GenAI & LLM: Using Large Language Models (LLMs) and Generative AI to enhance internal workflows, automate insights, or improve client-facing data tools.
- Market Analysis: Analyze patterns and correlations among derivatives products and clients to identify actionable trends.
- Tool Adoption: Increase the adoption of Data Science tools with both staff and clients through clear communication and robust implementation.
Requirements
- Current PhD student in AI, Data Science, Computer Science, Statistics, Mathematics, Physics, Economics, or a related quantitative field.
- Strong knowledge of statistics, probability, and machine learning.
- Proficiency in Python (NumPy, SciPy, Pandas, scikit-learn, and PyTorch/TensorFlow).
- Solid SQL skills for data manipulation and analysis.
- Familiarity with Generative AI frameworks and experience prompting or fine-tuning LLMs is highly desirable.
- Excellent verbal and written skills; the ability to convey complex technical concepts to non-technical stakeholders.
- Exceptional teamwork, natural curiosity, and the ability to break down ambiguous, complex problems into manageable pieces.
- A "can-do" attitude—not afraid of hard work, proposing bold ideas, and finding "smarter" ways to work.
Preferred Qualifications
- Cloud Computing: Experience with Google Cloud Platform (GCP/Vertex AI), AWS, or Azure.
- Unstructured Data: Experience in Natural Language Processing (NLP) and analyzing unstructured text.
- Domain Expertise: Knowledge of Commodity and Financial Derivatives Markets (Futures and Options).
Role is based in London with hybrid work schedule.
CME Group: Where Futures are Made. CME Group is the world's leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more.
At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone's perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic.
Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process.
Post Grad Data Science Intern in Wool employer: Chicago Mercantile Exchange
Contact Detail:
Chicago Mercantile Exchange Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Post Grad Data Science Intern in Wool
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream internship.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and machine learning. We want to see how you’ve applied your knowledge in real-world scenarios, so make sure to highlight your best work when you apply through our website.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or mentors to build your confidence. Remember, it’s all about demonstrating your problem-solving skills and your ability to communicate complex ideas clearly.
✨Tip Number 4
Follow up after interviews! A simple thank-you email can go a long way in showing your enthusiasm for the role. We appreciate candidates who take the time to express their gratitude and reiterate their interest in joining our team.
We think you need these skills to ace Post Grad Data Science Intern in Wool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your relevant skills in AI, machine learning, and data analysis. We want to see how your experience aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our team. Keep it concise but impactful.
Showcase Your Projects: If you've worked on any cool projects or research, make sure to mention them! We love seeing practical applications of your skills, especially in AI and machine learning.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you're serious about joining our team at CME Group.
How to prepare for a job interview at Chicago Mercantile Exchange
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, machine learning, and data science concepts. Be ready to discuss how you've applied these in your studies or projects. Familiarity with Python libraries like NumPy and Pandas will definitely give you an edge!
✨Show Your Team Spirit
CME Group values collaboration, so be prepared to share examples of how you've worked in teams. Highlight your ability to communicate complex ideas clearly, especially to non-technical folks. This will show that you can bridge the gap between technical and business needs.
✨Bring Your Ideas
Don't shy away from sharing bold ideas during the interview. Think about innovative solutions you've brainstormed in the past and be ready to discuss them. A 'fail fast' mentality is encouraged, so showing your willingness to experiment and learn from mistakes will impress them.
✨Research the Company
Take some time to understand CME Group's role in the derivatives market and their approach to data science. Knowing their products and recent developments will help you tailor your answers and demonstrate genuine interest in the company and the position.
