Data Scientist (graph) Job in Payu

About Company:

About PayU A Prosus group company

PayU is the payments and fintech business of Prosus, a global consumer internet group andone of the biggest investors in the fintech space globally, with investments totalling $700 million- to date.In India,PayUserves more than 350,000 merchants with 70+ local payment methods and is the preferred payments partner for nearly 60% of the e-commerce merchants, including all leading e-commerce companies anda majority ofairline businesses.

PayU specializes in credit products and services for emerging markets across the globe.Headquartered in Mumbai, PayU Credit India has disbursed about 20 billion loans to date by volume and has disbursed more than $280 million in consumer credit.PayU Credit provides consumers with easy access to affordable short-term loans up to INR 5 lacs that can be availed in the form of personal loans, point of sale EMI and express loans. Lead by Prashanth Ranganathan, the company has been focusing on providing innovative solutions that make access to credit convenient as well as quick.PayU India entered the alternate lending business in 2017 with LazyPay, its buy-now-pay-later offering to provide consumers with convenient checkout options. It emerged as one of the most popular payment methods across 300+ renowned merchants in its network like Swiggy, Zomato, Samsung, Dunzo, GoAir, amongst others.Recently the company launched LazyPay Credit Shield an end to end digital lending features that help its users to be mindful of their financial health and credit score and automates the entire process of disbursal.Riding on the success of the offering in 2018, PayU received RBIs approval to operate as an NBFC in 2018.PayU acquired a stake in PaySense in January 2020 to accelerate its vision for credit in India and leverage AI & ML to build a full-stack digital lending platform in India.PayU in its next phase of growth is developing a full regional fintech ecosystem providing multiple digital financial services in one integrated experience.

Job Description:

• Work closely with our data science team to uncover insights, deploy state-of-the-art algorithms, and build practical solutions on massive user and product data by building a knowledge graph and its supporting infrastructure.
• Build various graphs and graph machine learning models/applications to serve various business purposes such as fraud detection, credit scoring, user profiling, listing information mining, etc.
• Analyze massive data and conduct feature engineering by large-scale data mining.
• Setup real-time data pipeline and build reliable dataset with graph database.
• Develop and maintain the in-house knowledge graph platform to serve various business teams.
• Research the state-of-the-art techniques in graph neural network to solve challenging problems.

Requirements:

• BE / BTech or MS or PhD in machine learning, computer science, math or equivalent work experience
• 5+ years of experience as a hands on expert-level practitioner of machine learning and/or graph algorithms.
• You have to built large scale machine learning models and systems.
• Experience in social netwrok analysis is a plus. Having conducted research and published peer-reviewed articles in a Machine Learning field is a plus.
• 5+ years of experience leading large ML initiatives across cross functional teams in multiple organizations.
• Track record of innovation and having taken large machine learning based products and features from conception to successfully delivering value to customers in production.
• Experience with programming languages such as Python
• Experience on SQL, Spark.
• Knowledge on areas related to knowledge graph analysis, graph neural network and deep learning.
• Familiar with graph computing framework such as Apache Tinkerpop is also a plus. Not a requirement.
• Experience on graph databases such as AWS Neptune, GraphX, Neo4j, JanusGraph, OrientDB, DGraph, Memgraph, Tigergraph