Director of Data Science Platform

Established in 2019, Credit Saison India (CS India) is one of the country’s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India’s huge gap for credit, especially with underserved and under penetrated segments of the population.

Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. Credit Saison India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings.

Currently, Credit Saison India has a branch network of 80+ physical offices, 2.06 million active loans, an AUM of over US$2B and an employee base of about 1,400 employees.

Credit Saison India is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact. Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people.

Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan’s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment. Based in Singapore, Saison International’s global operations span over Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil, with active investments in debt, equity, corporate venture capital, and technology.

Key Responsibilities

• Data & ML Engineering Leadership
• Build and scale ML engineering and data engineering functions.
• Establish MLOps frameworks for standardized, production-grade model development and monitoring.
• Ensure smooth model transition from data science experimentation to live deployment.
• Enterprise Decisioning PlatformDesign and operationalize a centralized decisioning platform that integrates low-code model development, AutoML, rule engines, and workflow automation.
• Enable DS & Risk teams to build, test, and deploy models with minimal engineering bottlenecks.Expand decisioning systems across functional pods—credit, pricing, collections, fraud, cross-sell, customer management—to drive consistent, explainable, and auditable decision-making.
• Ensure the platform is scalable, modular, and compliant with RBI regulations.Core Platform & Lifecycle Management
• Build modern, scalable data platforms (real-time ingestion, lakehouse, event-driven systems).
• Ensure full lifecycle governance of data from sourcing to archival.Partner with governance teams to enable lineage, auditability, and regulatory compliance.
• Operational Excellence
• Lead DataOps, L1 / L2 support, and SRE teams to maintain >

99.5% platform uptime.Implement automated testing, proactive monitoring, and self-healing systems.

Required Skills & Qualifications