Associate, Specialist Data Scientist, Transformation and Data

Job Purpose • Develop statistical learning models by using AI / ML Techniques • Identifying the Opportunities for Business growth • Support business in meeting the Budgets through Analytical Insights • Communicate results and ideas to key decision makers Key Accountabilities & requirements • Regular Portfolio Health Check-ups through Business Insights • Identifying areas of growth and areas of sluggishness within portfolio • Drive insight led actionables to help achieve portfolio targets • Support Stakeholders in Business Reviews Job Duties & responsibilities Involve in building Machine Learning models, data science solutions and working with state-of-art data science and Machine Learning Tools such as Spark, Sklearn, Tensorflow, and will have mastery in any number of Analytic Programming languages/platforms like Python, R. etc. • Work with large datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the bank ranging from recommendation engines, propensity models, customer segmentation, Graph models, Credit underwriting model, pricing and more • Engage with business and product teams on the problem formulation and create solution framework • End-to-End execution from data collection, analysis, feature engineering, model development, implementation (including testing) and monitoring • Design A/B test experiments to test the model effectiveness and Analyze to identify the target segments • Drive the testing and deployment of the machine learning products into production • Excellent pattern recognition and predictive modelling skills • Understand the Product Journeys and help business to improve the customer experience Rxequired Experience Non-technical Experience • Strong academic background • Should be self-motivated and adaptable. • Should possess a creative bent of mind and should be a strategic thinker. • Should be focused and well organized Technical Experience • 3-12 years of experience in Data Science/Analytics (consumer banking, ecommerce, retail, telecoms, technology) with demonstrated track of generating value through DS/ML/AI solutions. • Should have full understanding of applications of DS/ML/AI solutions to various business problems. • Proficiency in using databases like Teradata, NoSQL and Hadoop using SQL,Hive, Spark, etc., • Programming experience in Python, R, Spark, SAS, TensorFlow or other machine learning oriented programming languages/platforms. • Good understanding of technology tools especially those related to analytics, data & modelling. • Ability to communicate complex analysis/models across a diverse team. • Good written and oral communication skills. Education / Preferred Experience Prior Working experience of AI / ML / DS is must B.Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics,Operation Research, or equivalent quantitative fields preferred. Location: Mumbai Job: Analytics Schedule: Regular Employee Status: Full time