Senior Data Scientist

Roles & responsibilities:

• The candidate must be able to independently manage his/ her own workstream and effectively collaborate with other regional teams.

• Develop and deploy machine learning models

  to support key business areas such as Credit Risk, Fraud Detection, Customer Segmentation, Marketing Optimization, and Collections Strategy.

• Collaborate with cross-functional teams

  (Data Engineers, Product Managers, Engineers) across

  Chennai, Manila, and Singapore

  to deliver production-grade ML solutions aligned with business goals.

• End-to-End Ownership:

  Drive the full lifecycle of ML solutionsfrom data exploration, feature engineering, and algorithm selection to deployment and performance monitoring.

• Build scalable data pipelines and model inference workflows

  (real-time and batch) to integrate predictive solutions into core banking and customer-facing platforms.
• Ensure

  model governance

  by adhering to regulatory and compliance standards in financial services environments.

Preferred candidate profile:

1. Bachelors or Masters Degree in computer science/ Statistics/ Data Science/ Engineering

+ years of hands-on experience

Python, SQL

Retail Banks, B2C FinTechs, NBFCs, System Integrators, SaaS-based Banking Platforms

cloud platforms

real-time data processing

7. Above all, I must be a great team player and proactive communicator. This is a Table Stake Criteria!!!