FBS - Data Scientist I

3 semanas atrás

Campo Grande, Brasil Capgemini Tempo inteiro

Our client is one of the United States' largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&C). They serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through 48,000 exclusive and independent agents and nearly 18,500 employees. The client is part of Zurich Insurance Group.

About The Position

We’re looking for a motivated and detail-oriented Data Scientist I to join our team. In this role, you'll work on end-to-end solutions that involve building and operationalizing predictive models, conducting statistical analyses, and creating impactful visualizations that drive real business outcomes across multiple lines of business or shared service functions. You'll extract and prepare data from various sources (structured and unstructured), apply advanced analytics techniques (such as clustering, PCA, hypothesis testing, and resampling), and help deploy your models into production. You'll also support operational tasks like data validation, managing trackers, and contributing to internal communications, all while navigating shifting priorities in a collaborative, fast-paced environment.

This is a fantastic opportunity for someone early in their data science journey who is eager to grow, solve real-world problems, and contribute to high-impact projects. You'll be part of a globally renowned group that values innovation, learning, and diverse perspectives.

Responsibilities

In this role you will:

  • Build and operationalize predictive models
  • Extract and prepare data from multiple sources (structured and unstructured)
  • Apply statistical analyses and analytics techniques (e.g., clustering, PCA, hypothesis testing, resampling)
  • Create impactful visualizations that drive business outcomes
  • Help deploy models into production
  • Support data validation, tracking, and internal communications
  • Collaborate in a fast-paced, team-oriented environment
Qualifications

Must have

  • 1 to 3 years of experience
  • Experience with SQL and Python
  • Knowledge in version control with GitHub
  • Experience with Power BI or other data visualization tools
  • Entry-level knowledge with modeling and machine learning algorithms

Nice to have

  • Insurance and actuarial skills
  • Experience working on a cloud platform (AWS, Azure or other)
Benefits
  • Competitive salary and performance-based bonuses
  • Comprehensive benefits package
  • Career development and training opportunities
  • Flexible work arrangements (remote)
  • Dynamic and inclusive work culture within a globally renowned group
  • Private Health and Dental Insurance
  • Pension Plan
  • Meal allowances
  • Life Insurance
Seniority level
  • Entry level
Employment type
  • Full-time
Job function
  • Analyst
Industries
  • IT Services and IT Consulting
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