Data Scientist 2-digital Banking Kotak 811-regional Sales

4 weeks ago

Bengaluru, Karnataka, India Kotak Mahindra Bank Full time

Job Category KMBL Degree Level Bachelor s Degree About Us Kotak811 is a completely digital in-your-phone mobile bank It was founded in 2016 to help India adapt evolve and eventually overcome the barrier of digital banking and make it accessible to all Our sole aim is to bring you the excitement and ease of digital banking with the trust and reassurance of Kotak Mahindra Bank s experience and legacy Incubated by Kotak Mahindra Bank Kotak811 is where innovation meets banking to offer the user the most seamless banking experience there has ever been Kotak 811 is a digital zero balance savings account that can be opened online by everyone Indian residents only which acts as a one-stop solution for all your financial needs and day to-day transactions Equal Employment Opportunity All employment decisions shall be made without regard to age race creed colour religion sex national origin sexual orientation gender identity or expression genetic information marital status citizenship status or any other basis as protected by the state or local law Kotak 811 is committed to providing equal employment opportunities Role Data Scientist 2 Key responsibilities 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle Acquisition Behaviour Collections Propensity Marketing Fraud etc 2- Design and Strategy Development to offer best in class Assets Products to customers 3- Building Prediction Model using big data from digital signals alternate data and beyond 4- Partnering exploring and expanding solutions with different data providers and Companies 5- Ownership and Responsibility to lead manage large scale projects model Development Deployment Skill Sets key requirements 1- Advanced degree in an analytical field e g Data Science Computer Science Engineering Applied Mathematics Statistics Data Analysis or substantial hands on work experience in the space 2- Should have worked in Banking Fintech domain in Credit Fraud Risk with strong understanding of Bureau Data in-house banking Data 3- Advance Coding skills with at least one of these- Python SQL Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering training validation scaling deployment scoring monitoring and feedback loop 2- Have worked across end to end in model design development validation documentation deployment 3- Create great data stories with expertise in robust EDA and statistical inference

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