Data Scientist

What you'll do

• Own production AI systems and LLM workflows end to end: design, build, deploy, monitor
• Build the evaluation layer that decides what ships: offline evals, A/B tests, live monitoring
• Optimize inference with vLLM, prompt optimization frameworks, and fine-tuning (LoRA/QLoRA)
• 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:

• Having 3+ years experiences on building ML or AI systems, including at least one LLM or RAG system you took to production
• Skilled in translating technical trade-offs into actionable insights for non-technical stakeholders (for example: Product, Risk, CX, and Compliance)
• Strong Python fundamentals
• Proven experience in conducting evaluations that directly influenced key product decisions

Bonus points (not required)

• Banking or fintech background
• High-throughput LLM serving with vLLM
• GEPA or similar prompt optimization in practice
• Fine-tuning for financial use cases