S&C Global Network-Strategy-MC-Intelligent Asset Management-Consultant

Entity :- Accenture Strategy & Consulting

Team:- Strategy & Consulting Global Network

Practice:- Financial Services - Banking

Title:- Data Science Consultant

Job location:- Mumbai

About S&C - Global Network :- Accenture Consulting works at the heart of its clients' organisations and helps address their most complex issues

• As an experienced financial services professional, your market-leading industry, management and technology expertise will provide critical solutions that answer unparalleled strategic, operational, technology and sourcing demands
• And, in doing so, you'll improve the future of the global financial services industry
• Accenture serves the world's leading financial services organisations across three industry groups Banking :Retail and commercial banks and diversified financial institutions
• Capital Markets :Investment banks, broker/dealers, asset-management firms, depositories, exchanges, clearing & settlement organisations
• Insurance :Property and casualty insurers, life and annuity insurers, reinsurance firms and insurance brokers
• Develop data & AI strategies aligned with business objectives and industry best practices
• Collaborate with business stakeholders to understand analytical requirements and deliver actionable insights Data Analysis and Modeling: Apply statistical and machine learning techniques to analyze large datasets Design, develop, test and implement solutions based on business requirements and strategic direction
• Perform testing of data to check adherence to internal, processes, policies and regulatory guidelines from RBI
• Develop predictive models and algorithms to extract valuable insights
• Collaborate with business stakeholders to understand analytical requirements and deliver actionable insights
• ML Ops: Design the data pipelines and engineering infrastructure to support our clients enterprise machine learning systems at scale
• Take offline models data scientists build and turn them into a real machine learning production system
• Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
• Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients machine learning systems