O
Junior Data Scientist
OCBC · Pagedangan, Banten, Indonesia
10 h ago
Junior (0-2 yrs)
Full-time
Indonesia
Log in
to apply, save this posting, or score it against your profile with AI.
About the role
Build and deploy LLM systems and workflows into production environments for banking applications. Evaluate AI performance through offline evaluations, A/B testing, and live monitoring while collaborating with product and risk teams.
What they look for
Python
LLM
Data Science
Prompt Optimization
Fine-tuning
vLLM
LoRA
QLoRA
Statistics
Computer Science
Mathematics
Engineering
Physics
Credit Risk
Regulatory Compliance
Requirements
Candidates must be fresh graduates with a degree in a quantitative field and strong Python fundamentals. Experience building LLM-based projects through internships, hackathons, or academic work is required.
Full description
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
