Junior Data Scientist

What you'll do

Build and ship LLM systems and workflows to production, where real bankers and customers use them Learn to evaluate AI properly: offline evals, A/B tests, live monitoring Work hands-on with Python, vLLM, prompt optimization, and fine-tuning Work alongside experienced teams in Product, Risk, and Compliance to apply data science techniques to real-world banking scenarios, including credit risk and regulatory compliance.

We’re looking for curious and eager-to-learn candidates who are: Fresh graduate (Bachelor's or Master's) in a quantitative field: Statistics, Computer Science, Math, Engineering, Physics Strong Python fundamentals Have experience on building something with LLMs (through Thesis, internship, side project, or hackathon) and can explain the concept and its objective in a simple way Bonus points (not required): Exposure to vLLM, LoRA/QLoRA fine-tuning, or prompt optimization frameworks like GEPA Interest in financial data and regulation