Data Scientist, Decision Intelligence & Agentic Workflows

PT. Indosat Tbk; Jakarta Pusat; On-site; IDR 350,000,000 - 650,000,000; Full time

Job summary

PT. Indosat Tbk is seeking a senior data science professional to turn predictive models into decision-intelligent workflows and agentic solutions.

You will define where models, rules, LLMs, and human approvals apply, and build scalable interfaces for multiple business domains. The role emphasizes practical GenAI capabilities, robust experimentation, and governance over production workflows to deliver measurable business impact in a telecommunications context.

Qualifications

• Minimum bachelor’s degree in STEM, Statistics, Mathematics, Computer Science, Engineering, Economics or another quantitatively rigorous discipline.
• 4–8 years across Data Science, applied ML, decision intelligence or AI product development with evidence of translating analytics into operational actions.
• Hands-on GenAI / agentic experience is highly desirable.

Responsibilities

• Translate priority business workflows into decision-intelligence and agentic use cases with clear value hypotheses.
• Identify where deterministic rules, predictive models, LLMs, agents or human approval should be used.
• Define reusable decision patterns and analytical interfaces that scale across domains.
• Build analytical components for prediction, prioritization, treatment selection and optimization and expose them as inputs.
• Prototype agentic workflows using retrieval, tools, APIs, structured outputs and function calling.
• Design guardrails, confidence thresholds, escalation paths, auditability and monitoring for production workflows.

Skills

Python

SQL

Machine learning

Statistics

Feature engineering

Experimentation

GenAI / agentic capabilities

Decision intelligence

API / tool interfaces

Communication across stakeholders

Education

Bachelor’s degree in STEM, Statistics, Mathematics, Computer Science, Engineering, or Economics

Job description

PT. Indosat Tbk is seeking a senior data science professional to turn predictive models into decision-intelligent workflows and agentic solutions.

You will define where models, rules, LLMs, and human approvals apply, and build scalable interfaces for multiple business domains. The role emphasizes practical GenAI capabilities, robust experimentation, and governance over production workflows to deliver measurable business impact in a telecommunications context.