As a Junior Data Scientist – Machine Learning, you will work closely with senior data scientists and engineers to develop, train, and evaluate machine learning models for credit risk analysis, fraud detection, and customer onboarding solutions.
You will contribute to building scalable ML pipelines, perform feature engineering, and help deploy models that power fintech decision systems used by leading digital lenders.

Key Responsibilities
Model Development: Assist in developing and training machine learning models for credit scoring, fraud detection, and risk prediction using structured and alternate data sources.
Data Preparation & Feature Engineering: Work with large datasets to clean, preprocess, and engineer meaningful features to improve model performance.
Model Evaluation: Support experimentation with different algorithms, hyperparameters, and validation techniques to improve predictive accuracy.
Pipeline Development: Help build and ...