Data Team Lead

About the Company

Our client has evolved into one of Indias leading digital lending and financial services platforms, serving millions of customers across the country. With a strong focus on technology, advanced analytics, and responsible lending, the organization continues to expand its footprint

across consumer finance, embedded finance, and digital ecosystems. The companys vision remains anchored in financing the aspirations of Indian consumers through new-age analytics, scalable technology platforms, and data-driven decision-making. It aims to be widely admired

for its governance standards, ethical practices, transparency, and commitment to excellence.

We are hiring for a Team Lead Data Science to drive data-led decision-making across our India business. In this role, you will leverage large-scale, high-velocity datasetsincluding demographics, financial behavior, asset information, repayment patterns, mobile interactions,

geolocation, and payment activityto generate actionable insights. You will partner closely with cross-functional teams including Product, Risk, Policy, and Technology to influence operational and strategic decisions at city, regional, channel, and national levels.

This role is ideal for candidates with a strong background in Data Science who are passionate about applying advanced analytical techniques to solve complex business challenges at scale, improve customer outcomes, and support the continued growth of a rapidly expanding digital

financial services platform.

What Youll Do

Lead a team building Machine Learning models to help optimize our operations (specifically underwriting, xsell, upsell, third party products)

Help the team dig through our extensive datasets to find actionable insights for product, risk and operations teams

Run experiments to help continuously improve our business and that will help us make major business decisions by applying machine learning, cluster

analysis, and statistical programming disciplines

Work with Data teams across the company (i.e. product, engineering, finance) on cross- functional projects

You will ask critical questions about our metrics and crunch the numbers on our existing features to help shape the new features.