15 oct
|
Capgemini
|
México
Our Client is one of the United States' largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C;). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.
Job Summary
• Utilizes basic knowledge to apply analytics and modeling techniques to improve business results
• Performs routine assignments and leverages customer information and behavioral data to influence strategic business decisions while using analytics, multi-variate models, machine learning and data mining technologies
• The role actively learns about business operations and best practices in data science with guidance from more senior roles
Essential Job Functions
• Utilizes conceptual knowledge of consumer analytics including retention models, agency economics,
and lead optimization in their daily work
• Utilizes basic knowledge of programing, ETL and modeling methods to execute projects and assists the team through examples of good technical skills
• Executes on low- complexity business challenges involving data science
• Succeeds in projects by utilizing a data science vision for project success, and accomplishes successfully within prescribed timelines.
• Executes on routine projects with a sense of urgency. Contributes to development of presentations
• Occasionally communicates complex technical material understandable to non-technical associates. Executes basic to intermediate model deployments via established MLOps techniques. Works with analytics and IT teams to deploy models/rules
Requirements
Education Requirements
• Master's degree highly preferred in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related field.
• Bachelor's degree
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