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Job Location | Chennai |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Management Consulting / Strategy |
Functional Area | General / Other SoftwareSales / BD |
EmploymentType | Full-time |
Roles and Responsibility :
Predictive Analytics, Risk Analytics, Model validation and verification, Machine Learning, Customer engagement, Analytics Advisory
Tools & Technologies Proficiency in SAS, Python, Exposure to big data technologies.
RoleAs part of our global advanced analytics team spread across multiple locations in US, UK and India, you will work on a multitude of business problems across defensive and offensive programs in multiple domains including banking, insurance, manufacturing, telecom and high tech. As practice leader, you will be expected to participate in presales meetings, solution design, development and implementation and customer presentations. You will also play a key role in hiring and nurturing new talent to expand our newly created analytics centre in Bangalore.
Primary Responsibilities
Work with analytics leadership team to develop the analytics agenda, key deliverables and execution plan for Bangalore centre.
Design and develop solutions to market - driven problems using latest ML techniques and traditional techniques such as Logistics Regression, Decision Tree and other rigorous statistical analysis
Serve as a Subject Matter Expert and work with country sales teams on new opportunities. Lead analytics consulting engagements and delivery of analytics projects assigned to you and your team. Help develop analytics culture in India centres (Chennai and Bangalore) through mentorship and training.Participate in development of quality marketing collateral such as case studies and white papers to promote Dun & Bradstreet brand.
Drive innovation by creating new frameworks, prototypes and automation projects in relevant areas.Collaborate with internal and external stakeholders (external customers, other D&B data scientists, sales team members, business unit product leaders and development teams) to understand business needs and technical requirements through direct, external consultative customer engagements as well as proof - of - concept implementations for products
,Keyskills :
solutiondesign accountancy bigdata predictiveanalytics modelvalidation mis advancedanalytics finance financialservices machinelearning sales ltd riskanalytics continuousimprovementfacilitation customerengagement behavioraltraining whitepap