Data Scientist - Mumbai, Maharashtra, India - PayU

PayU

Verified Company

Mumbai, Maharashtra, India

1 week ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

About PayU

PayU, a leading payment and Fintech company in 50+ high-growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East and Africa, part of Prosus group, one of the largest technology investors in the world is redefining the way people buy and sell online for our merchants and millions of consumers.

As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day.

Thinking of becoming a PayUneer and you are curious to know more about us? Read more about the life in PayU here

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 bankingpartner
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.

What you'll be doing:

Lead and execute Data Science projects for building bestinclass 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 usecases
Excellent stakeholder management skills internal and external
Detail oriented with strong organizational skills. Ability to function in a highvolume 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 highenergy individual with a gogetter instinct and positive attitude.
Should be a great teammate who promotes knowledgesharing

About us

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 safe environment, for all of our people, communities and customers.

Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and 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.