Company Name:-
PayU

Job Location:-
Gurgaon, Haryana

Job Summary:-
PayU is the fintech division of Naspers, a global internet and entertainment group and one of the largest technology investors in the world.

Operating in more than 120 countries, Naspers builds leading companies that empower people and enrich communities.

By joining PayU, you will become part of the global network of data science, machine learning and AI specialists of PayU and the Naspers group.

This context will offer you travel and international career opportunities.

Under the aegis of PayU Payments Services Ltd.

, PayU provides payment gateway solutions to online businesses through its cutting-edge and award-winning technology.

PayU’s local operations span 18 growth markets across Asia, Central and Eastern Europe, Latin America, the Middle East and Africa.

PayU India forays into two business verticals – payment offerings under PayU Payments Services Ltd.

and alternate lending under PayU Finance.

In India, PayU covers nearly 60% of the airline business and 90% of the entire e-commerce business and processes over INR 95,000 crores worth of digital payments annually.

The company offers more than 70 local payment methods and serves more than 350,000 merchants including leading ecommerce businesses in India.

The company also empowers SMBs, enabling them to accept mobile and online payments with minimum development effort.

PayU India has processed more than 2 Billion transactions, which make us one of the best data companies.

Payment behaviour data for consumers and merchants provide a great platform for Data-as-a-service (DaaS) to help our merchant partners engage with their customers.

It also enables us to help banks and other lending partners determine who can they lend to while managing risk.

The Team

Our data science team develops machine learning technologies to improve payment and credit products based on hundreds of millions of transactions in India.

This role is with the PayU India Payments team, with specific focus on Digital Insights from PayU Payments data for various use cases.

PayU Payments data has emerged as a powerful source of information.

Example use cases are:

Building an Underwriting model for NTC population for a banking partnerBuilding affluence scorecard for a food merchantBuilding gen

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