Data Scientist — End-to-End ML & Credit Risk Models

FinAccel; Jakarta Pusat; On-site; IDR 350,000,000 - 600,000,000; Full time

Job summary

FinAccel is seeking a Data Scientist to own end-to-end machine learning projects, including idea-generation, prototyping, and production deployment. The role involves collaboration with Analysts and ML Engineers to deliver high-impact models such as credit scoring and recommendation systems.

The ideal candidate has a quantitative background, at least 2 years of experience, and strong Python or R skills, with exposure to SQL/NoSQL databases and DL/NLP modeling.

Qualifications

• Minimum 2 years of relevant work experience.
• Masters, PhD or equivalent experience in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Econometrics, Engineering, AI).
• Capable to build robust end-to-end predictive models using the latest ML techniques and methodologies.
• Proficiency in Python or R.
• Exposure to RDBMS (MySQL, PostgreSQL) and NoSQL (S3).
• Experience with alternate data to evaluate credit risk.
• Experience in building end-to-end Deep Learning and/or NLP models.

Responsibilities

• Turn discoveries and ideas into machine learning models with ownership from concept to production.
• Prototype diverse ML models, from credit scoring to recommendation engines.
• Research and develop approaches to improve models using large, unique data sets.
• Contribute to advancing Data Science at FinAccel to the next level.

Education

Master's degree or PhD in a quantitative field

Tools

Python

R

MySQL

PostgreSQL

S3 (NoSQL)

Deep Learning

NLP

Job description

FinAccel is seeking a Data Scientist to own end-to-end machine learning projects, including idea-generation, prototyping, and production deployment. The role involves collaboration with Analysts and ML Engineers to deliver high-impact models such as credit scoring and recommendation systems.

The ideal candidate has a quantitative background, at least 2 years of experience, and strong Python or R skills, with exposure to SQL/NoSQL databases and DL/NLP modeling.