Posted:3 months ago|
Platform:
Work from Office
Full Time
Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector Project Management Client Management Support business development and new analytics solution development activities Skills and attributes for success Domain expertise in one of the industries across Banking, Insurance, not mandatory Full-Stack engineer to work with the ML engineering platform team to build relevant capabilities required in the MLOPs process Hands-on experience in web app development, which can be complemented by ML knowledge Experience in Web app development - angular CICD workflow configuration and management Data mining experience - Clustering, Segmentation Machine learning and Python experience would be a plus. Data engineering experience to build queries and pipelines to extract data Computer science fundamentals such as data structures, statistics, databases, object-oriented programming in Python, Java Experience in Machine Learning Fundamentals would be a great addition, too. To qualify for the role you must have B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities Minimum 6 years of relevant experience Ideally you ll also have Strong communication, facilitation, relationship-building, presentation and negotiation skills. Be highly flexible, adaptable, and creative. Comfortable interacting with senior executives (within the firm and at the client)
EY
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