Automation Data Scientist: KYB & Merchant Risk (ML/LLM)

DANA Indonesia

Jakarta Pusat

On-site

IDR 300,000,000 - 420,000,000

Full time

14 days+
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Job summary

DANA Indonesia is seeking an Automation Data Scientist in Jakarta to design, build, and productionize machine learning and LLM-based automation for KYB merchant onboarding and risk decisioning. You will transform manual verification into auditable, scalable systems to support growth and compliance.

Collaborate with cross-functional teams to translate business requirements into data-driven solutions, monitor model performance, and ensure governance while staying current with AI trends and

Qualifications

  • Bachelor's degree in a quantitative field.
  • 2+ years of practical Data Scientist experience deploying ML models to production.
  • Strong knowledge of ML, NLP, LLMs, CV, clustering, and tree-based algorithms.
  • Proficient in Python and SQL with Spark/Airflow/MLflow experience.
  • Experience building scalable data pipelines with data quality.
  • Strong software engineering practices (Git, unit testing, CI/CD).
  • Excellent written and verbal communication; able to translate business needs into AI solutions.
  • Fluent in English and Bahasa Indonesia.
  • Experience in fintech/payments/KYC/KYB/AML/fraud detection.
  • Familiarity with MLOps, cloud, API development, and containerization.
  • Experience with graph analytics and multilingual NLP/LLMs; aware of Indonesian regulations.

Responsibilities

  • Design, build, and productionize ML, statistical, and LLM-based automation solutions for merchant risk and KYB.
  • Develop automated verification, classification, and decisioning models to improve onboarding.
  • Build and maintain end-to-end ML pipelines including feature engineering, deployment, monitoring, and retraining.
  • Monitor model performance, data quality, governance to ensure auditable decisions.
  • Collaborate with Product, Engineering, Risk, Compliance, and Merchant Operations to translate needs into automation.
  • Experiment and optimize thresholds to balance fraud prevention with growth.
  • Communicate insights and model performance to technical and non-technical stakeholders; ensure data privacy.
  • Stay up-to-date with data science trends and pursue continuous learning.

Skills

Machine learning
Python
SQL
NLP/LLMs
Data pipelines
MLOps
Git
CI/CD
English
Bahasa Indonesia

Education

Bachelor's degree in Computer Science/Statistics/Math/Engineering

Tools

Spark
Airflow
MLflow
TensorFlow
PyTorch
Git

Job description

DANA Indonesia is seeking an Automation Data Scientist in Jakarta to design, build, and productionize machine learning and LLM-based automation for KYB merchant onboarding and risk decisioning. You will transform manual verification into auditable, scalable systems to support growth and compliance.

Collaborate with cross-functional teams to translate business requirements into data-driven solutions, monitor model performance, and ensure governance while staying current with AI trends and

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