Data Scientist

The team hiring for this position is responsible for building predictive model to solve business problems for personal lines products. The primary models they build are risk pricing models. This involves looking at historical policy, policyholder, claims data etc. to predict how much loss individual customer segments will generate. To support the pricing models and other predictive analytic needs for personal lines, they also build a variety of other models requiring techniques such as generalized linear models, neural networks, decision trees, cluster analysis, and multivariate statistical analysis. As a member of this team, you will collaborate with State Management, Underwriting, Actuarial, Claims and IT.
Your job responsibilities will include: utilizing basic knowledge to apply analytics and modeling techniques to improve business results, performing routine assignments and leveraging customer information and behavioral data to influence strategic business decisions while using analytics, multi-variate models, machine learning and data mining technologies, assisting in projects operationalizing business decisions while receiving some guidance and direction from more senior roles.

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.

Location: Brazil, Mexico

• Minimum Required: 1-3 years

English Proficiency

• Minimum Required: Fluent

Required Education

• Minimum Required: Masters
• Preferred: Masters

Required Branches of Study

• Data Science
• Statistics
• Mathematics
• Computer Science

Software / Tool Skills

• Excel - Entry Level
• GIT - Entry Level
• Python - Entry Level
• SAS - Entry Level
• SQL - Entry Level
• Power BI - Entry Level

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.