Data Science Iii Bangalore Division

About Bright Money

Bright Money is a Consumer FinTech for middle-income consumers. It brings together SaaS products to help consumers build credit, manage their debt, and get access to suitable loans and credit cards. These are the major financial needs of middle-income consumers living paycheck-to-paycheck.

Bright is a profitable, India-built, U.S.-market Consumer FinTech, with revenue trajectory to $100M in the coming 6 months. The business model combines subscription revenue with a financial service marketplace revenues, for loans, credit cards, and credit building tools.

Bright has launched an AI money assistant and AI agentic UX flows for access to credit. It will be the first AI-driven Consumer FinTech for middle-income consumers.

The Bright product suite has potential for global markets beyond the US. The market size is 100M global middle-income consumers, with a revenue pool prospect of $15B.

Bright is backed by 3 top global venture capital firms, and leading tech angel investors in the USA, Europe, and Asia.

Bright was founded in 2019 by a founding team from McKinseys Banking Practice (Petko Plachkov and Avi Patchava) and InMobi Data Scientists (Varun Modi and Avi Patchava). The core team is ex-InMobi Engineering and Data Sciences, recently joined by senior leaders from McKinsey. Bright is a data-driven, rapid-paced execution culture that will build a Global Consumer FinTech, all functions operating from India.

What is the team & role about

The Data Scientist Level 3 is responsible for leading predictive modelling and experimentation to drive key business metrics around risk and impact. The role combines handson modelling, AI agents/ML systems development, and stakeholder collaboration to turn complex data into actionable strategies. This is an IC role while mentoring juniors.

What you will do

Own endtoend predictive modelling initiatives for businesscritical metrics related to risk, impact, and growth, including problem framing, data stra .