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