Lead Data Scientist

Lead Data Scientist About Us Bandhan Life is your trusted partnerin financial security, making every Indian household financially secure. As apart of the renowned Bandhan Group, we are bolstering our collaborativestrengths of digital innovation and robust distribution to enhance the valuefor all our stakeholders. Welcome to a new era of insurance, where growth,innovation, customer, and employee welfare are paramount. Role Details Department: Data Analytics Employment Type: Full Time Key Focus Areas: To drivedata-driven strategy, solving business problems using data decisionscience Be activelyinvolved in taking key decisions for the company, charting out how we play inthe competitive landscape. To Chalk outAnalytical solutions and strutured approach, to solve complex business problems To identifyfriction points for the customers, and producing innovative ideas/solutions To Analyzecompanys customers data (1st party), and Partners (leading e-commerce / fintech / healthtech / lending companies) customers (2nd party) data, to deriveinsights actionables to steer business. To Developstatisitcal/predictive/ ML model, if required, to solve the business problem To nurture andmentor, the team of senior data analysts and data scientists Qualifications Competencies: A problem solver at heart,first-principles thinker, enjoy challenging status quo, coming up withnon-traditional solutions to traditional problems, love numbers, are married totechnology and have a bias for action. 4-6years of hands-on and strong experience in Advanced Analytics, Data Science,and Predictive Modeling/ML/AI Proficiencyin statistical data analysis and modeling tools such as SQL, Python andrespective libraries Goodknowledge of statistics and predictive modeling concepts Experiencein Amazon Web Services (Lamda, SNS, SQS, RDS, EC2, KMS, etc.) environment,Sagemaker and QuickSight preferred Insurance,other banking/financial industry, FinTech, HealhTech experience preferred Understanding of Credit Risk Assessment, alternaterisk scoring, credit profiling segmentation, dynamic pricing model basedon risk profile, fraud prevention preferred. MinimumBachelor's degree in Engineering/Technology / Statistics Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.