As a, you’ll join our core research team to work on cutting-edge generative AI innovations. This is your chance to dive into real-world research, collaborate closely with experienced data scientists, and develop practical expertise in applicative research. In this role, you’ll gain hands-on experience with advanced generative AI and research practices, while collaborating with senior data scientists and researchers.
How will you make an impact?
- Contribute to state-of-the-art generative AI research and prototypes
- Write clear, modular code in Python
- Contribute to writing and maintaining internal and external research papers
- Contribute and participate in cross-organization data science meetings
- Participate in daily team activities, presentations and knowledge sharing
- Tackle real-world financial crime challenges like fraud and money laundering detection
Have you got what it takes?
- Currently pursuing an M.Sc. in Data Science, Computer Science, Software Engineering, Statistics or other relevant field
- Completed at least one year of academic studies and have 2 remaining semesters (expected graduation by Oct 2026)
- Analytical thinker with strong problem-solving abilities and an appetite for complex challenges
- Comfortable navigating ambiguity, learning quickly, and driving solutions independently
- Solid communication skills and a team-oriented mindset
You will have an advantage if you also have:
- Relevant work experience
- Experience with network analysis or graph-based data
- Experience with generative AI
Reporting into:
Student