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.
About The Role
We are seeking a highly analytical and business-oriented Data Scientist to join our team. In this role, you will leverage advanced analytics, predictive modeling, and Machine Learning techniques to solve complex business challenges across Contact Center, Workforce Management, and Customer Experience functions.
You will partner closely with business stakeholders to identify opportunities, develop data-driven solutions, and deliver measurable impact through predictive insights and operational improvements.
Key Responsibilities
Develop, deploy,
and maintain predictive and Machine Learning models
Collaborate with stakeholders to identify business challenges and recommend data-driven solutions
Support initiatives related to Customer Retention, Customer Routing, and Customer Experience optimization
Enhance forecasting capabilities for Contact Center operations
Identify, assess, and leverage relevant data sources to improve business outcomes
Communicate findings, recommendations, and insights to both technical and non-technical audiences
Drive measurable business impact through advanced analytics and data science solutions
Required Qualifications
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field
Strong experience with SQL and data analysis on large, complex datasets
Strong proficiency in Python for data science and model development
Experience developing and implementing predictive models and Machine Learning solutions
📌 FBS - Data Scientist (México)
🏢 Capgemini
📍 México
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