Data Scientist Intern

Role Overview

This internship provides hands-on experience in fintech risk modelling, where interns work with

the Data Science team on credit risk or payment risk problems used in real production systems.

Duration: 6 months

Location: Malaysia

Target: Final-year (4th year) undergraduates, or postgraduates in Data Science, AI, CS, Engineering

Key Responsibilities

Analyse large-scale transactional and behavioural datasets using SQL and Python

Build, test, and evaluate machine learning models for credit or payment risk

Perform feature engineering, data validation, and performance analysis

Investigate fraud patterns, model errors, and stability issues

Communicate technical findings clearly to team members

Required Qualifications

Final-year undergraduate in Data Science, AI, Computer Science, or Engineering

Proficiency in Python for data analysis and modelling

Ability to write SQL queries for data extraction and analysis

Understanding of basic machine learning methods and evaluation metrics

Strong analytical and problem-solving skills

Fluent Chinese and English skills are required.

Nice-to-Have Skills

Exposure to deep learning frameworks such as PyTorch or TensorFlow

Familiarity with big data tools such as Spark or distributed computing

Coursework or projects related to fintech, risk, or fraud analytics

What You Will Gain

Real-world experience working on production fintech risk models

Mentorship from experienced data scientists and AI practitioners

Exposure to large-scale data and industry-grade ML workflows

Strong preparation for careers in data science, AI, or fintech