▷ [Only 24h Left] Data Scientist

Job Description About the Organization: IndusInd Bank is a universal Bank with a widespread banking footprint with over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches across the country. Bank is currently in its fifth planning cycle and is on a mission to attain scale with sustainability at its core and with a specific focus on leapfrogging digital banking capabilities. Accordingly, the digital team at IndusInd Bank is on a journey to create differentiated transformative customer experience in financial services. The team's charter to redefine banking experience for clients making is much simpler, intelligent, and personalized. The data science team(digital portfolio, platform growth & engagement) will be part of the digital team at IndusInd Bank and will help uncover insights that help drive the digital strategy and optimize customer experience. About the role: You would be part of asset analytics and data science team and work on cutting edge problems for the bank. The individual will work closely with the stakeholders across risk, business, partnerships, digital and strategy in creating and refining strategies to augment profitability and growth for the bank. The incumbent will majorly be responsible with coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams. Overall, Job Description - Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. - Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. - Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. - Well versed with necessary data reprocessing and feature engineering skills. - Strong background in Statistical Analysis. Constantly look and research on ML algorithms and data sources for better prediction - Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes. - Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy. - Experience in establishing/scaling up data science functions - Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights - Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time - Help define pricing models for digital value propositions for various segments of users / clients to ensure profitability of the portfolio and to ensure achievement of business outcomes - Work with product, growth, and marketing teams across product/campaign lifecycle - Empower product and marketing teams by creating automated dashboards and reports using PowerBI Skills/Capabilities - Model development experience in R, Python, SAS - Strong and in-depth understanding of statistics - Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems - Ability to build & use relationships and influence broadly across the organization - Results driven with strong project management skills, ability to work on multiple priorities - Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics and Hypothesis Testing