Role Data Scientist - Credit Risk Location Gurgaon Mumbai Bangalore About the team Our data science team develops ML based data products or solutions to improve lending Fraud collections Insurance and Investment products based on hundreds of millions of transactions in India This role is with the PayU Innovations Data Science 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 1 Building an Underwriting model for NTC population for a banking partner 2 Building affluence scorecard for customer segmentation for marketing campaigns 3 Building ML models for risk fraud collections Income estimation etc 4 Using GraphML to detect fraud and anamolies Joining our data science team offers you the chance to make a difference for millions of people and businesses in a rapidly growing market Advances in AI are changing the conditions to build a successful financial business They also underpin the growth of virtually every fintech business in the world Therefore PayU Innovations is building out its AI capabilities and will continue to do so in the coming years You will be able to help shape the AI efforts in India Excited yet Continue reading to find out more about the role What you ll be doing Lead and execute Data Science projects for building best-in-class models solutions for various use cases across the BFSI Industry Work with various external partners starting from POC discussions till execution and with internal partners e g Business teams technology and platform teams to understand design and implement the best solutions Opportunity to work on exceptional projects using cutting edge technology What are we looking for A degree in Statistics Computer Science Mathematics or other similar quantitative field from a premier institute Should have led Data Science projects and have at least 5 years of work experience as a Data scientist preferably worked on credit risk scorecards collections fraud or other lending lifecycle use-cases Excellent stakeholder management skills - internal and external Detail oriented with solid organizational skills Ability to function in a high-volume setting with tight deadlines Good experience in building machine learning models and should have experience in the following languages - Python SQL Familiar with cloud computing platforms like AWS etc Having experience in Pyspark and AutoML is a plus The incumbent must be a high-energy individual with a go-getter instinct and positive attitude Should be a great teammate who promotes knowledge-sharing What we offer Standard A positive get-things-done workplace A dynamic constantly evolving space change is par for the course - important you are comfortable with this An inclusive environment that ensures we listen to a diverse range of voices when making decisions Ability to learn cutting edge concepts and innovation in an agile start-up environment with a global scale Access to 5000 training courses accessible anytime anywhere to support your growth and development Corporate with top learning partners like Harvard Coursera Udacity 5 About us Standard At PayU we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper We give people in high growth markets the financial services and products they need to thrive Our expertise in 18 high-growth markets enables us to extend the reach of financial services This drives everything we do from investing in technology entrepreneurs to offering credit to underserved individuals to helping merchants buy sell and operate online Being part of Prosus one of the largest technology investors in the world gives us the presence and expertise to make a real impact Find out more at www payu com Our Commitment to Building A Diverse and Inclusive Workforce As a global and multi-cultural organization with varied ethnicities thriving across locations we realize that our responsibility towards fulfilling the D I commitment is huge Therefore we continuously strive to create a diverse inclusive and secure environment for all our people communities and customers Our leaders are committed to create an inclusive work culture which enables transparency flexibility and unbiased attention to every PayUneer so they can succeed irrespective of gender color or personal faith An environment where every person feels they belong that they are listened to and where they are empowered to speak up At PayU we have zero tolerance towards any form of prejudice whether a specific race ethnicity or of persons with disabilities or the LGBTQ communities