Data Scientist

The team hiring for this position is responsible for building predictive models 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.

Location: Brazil, Mexico

Work Experience in This Field

• 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.