Lead Data Scientist - Big Data, Risk & ML Modelling

Indodana; Kebayoran Baru; On-site; IDR 350,000,000 - 750,000,000; Full time

Job summary

Indodana is a fintech company building a data-driven credit marketplace in Indonesia. We seek a Lead Data Scientist to design, implement, and deploy predictive models for risk, fraud, and customer behavior.

You will drive feature engineering, model training, and monitoring in collaboration with a cross-functional data team, while ensuring governance and scalability of data infrastructure.

Qualifications

• Bachelor's or Master's in Data Science, Computer Science, Applied Mathematics, or related field.
• 3+ years of experience in data science, machine learning, or risk modeling, ideally in fintech or banking.
• Strong command of Python, SQL, and big data tools (e.g., Spark, Airflow, Hadoop, AWS/GCP/Databricks).
• Experience leading end-to-end model development in production environments.
• Solid understanding of credit risk, fraud analytics, or financial modelling.

Responsibilities

• Lead the design, development, and deployment of machine learning models for risk scoring, fraud detection, and behavioural analytics.
• Drive feature engineering, model training, and model monitoring pipelines using large-scale datasets.
• Build and maintain a scalable data infrastructure in collaboration with the Data Engineering team.
• Manage and mentor a team of data scientists and engineers, ensuring high standards in model accuracy, interpretability, and governance.
• Translate complex business problems into data-driven solutions and communicate technical insights clearly to stakeholders.
• Lead model validation, backtesting, and performance analysis for new and existing models.
• Develop and implement data quality checks, pipelines, and data governance protocols.

Skills

Python

SQL

Data science

Team leadership

Education

Bachelor's or Master's in Data Science/CS/Math

Tools

Spark

Airflow

Hadoop

AWS

GCP

Databricks

Job description

Indodana is a fintech company building a data-driven credit marketplace in Indonesia. We seek a Lead Data Scientist to design, implement, and deploy predictive models for risk, fraud, and customer behavior.

You will drive feature engineering, model training, and monitoring in collaboration with a cross-functional data team, while ensuring governance and scalability of data infrastructure.