Data Scientist: Credit Scoring & Analytics Leader

PT Sepulsa Teknologi Indonesia (Jakarta); Jakarta Utara; On-site; IDR 334,800,000 - 613,800,000; Full time

Job summary

PT Sepulsa Teknologi Indonesia (Jakarta) is seeking a proactive Data Scientist to join our Alternative Credit Scoring team. You will build predictive models, explore new data opportunities, and develop analytics solutions for the financial industry.

Beyond modeling, you will promote data-driven thinking, educate stakeholders, and help teams understand how DS can solve business problems. This role suits someone who enjoys building from scratch, learning independently, and taking ownership in a

Qualifications

• Bachelor's degree or higher in a quantitative field.
• Strong foundation in statistics, ML, and feature engineering.
• Proficiency in Python, SQL, and ML libraries.

Responsibilities

• Analyze large-scale datasets to generate insights and build predictive models.
• Improve existing credit scoring models through feature engineering and evaluation.
• Research new data products, AI/ML solutions, and analytics approaches.
• Translate business problems into data-driven solutions and identify data opportunities.
• Collaborate with Product, Engineering, and Commercial teams to deliver scalable data solutions.
• Validate model performance and communicate findings to diverse stakeholders.
• Promote data-driven decision making and raise DS awareness across the organization.
• Maintain documentation for models, features, and analytics processes.
• Stay updated with trends in DS, AI, and ML.

Skills

Python

SQL

Jupyter Notebook

Git/GitHub

Pandas

NumPy

Scikit-learn

XGBoost

LightGBM

Data storytelling

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field

Tools

BigQuery

AWS

Git

Job description

PT Sepulsa Teknologi Indonesia (Jakarta) is seeking a proactive Data Scientist to join our Alternative Credit Scoring team. You will build predictive models, explore new data opportunities, and develop analytics solutions for the financial industry.

Beyond modeling, you will promote data-driven thinking, educate stakeholders, and help teams understand how DS can solve business problems. This role suits someone who enjoys building from scratch, learning independently, and taking ownership in a