Data Scientist

Posted 10 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Insurance • Payments • Financial Services
The Role
Design, build, deploy, and monitor production AI systems and LLM workflows. Create evaluation layers (offline evals, A/B tests, live monitoring). Optimize inference (vLLM, prompt optimization, fine-tuning) and collaborate with Product, Risk, and Compliance on banking use cases like credit risk and regulatory compliance.
Summary Generated by Built In

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

Skills Required

  • 3+ years experience building ML or AI systems, including at least one LLM or RAG system taken to production
  • Strong Python fundamentals
  • Proven experience conducting evaluations that directly influenced key product decisions
  • Skilled in translating technical trade-offs into actionable insights for non-technical stakeholders (Product, Risk, CX, Compliance)
  • Banking or fintech background
  • High-throughput LLM serving experience with vLLM
  • GEPA or similar prompt optimization in practice
  • Fine-tuning for financial use cases
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The Company
7,768 Employees
Year Founded: 1941

What We Do

PT Bank OCBC NISP Tbk is a leading financial institution in Indonesia that provides a wide array of banking products and services to corporate, SME, and individual customers. Operating through business, consumer, and global markets segments, it offers savings, loans, credit cards, mutual funds, and insurance products. The company is a subsidiary of OCBC Overseas Investments Pte. Ltd. and is one of Indonesia's top ten banks.

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