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FBS Associate Decision Scientist

Capgemini Brazil 66 candidaturas 4 dias atrás

Salário estimado

R$ 7k - 11k/mês

Pleno CLT
48%

Score de curadoria

Indicador interno 0 a 100: transparência salarial, stack, descrição útil e sinais de qualidade do anúncio. Não é match com o seu CV.

Descrição da vaga

Texto agregado para leitura rápida. Confira sempre a fonte original ao enviar a candidatura.

Description

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 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 Position

We're looking for an Associate Decision Scientist to join a collaborative, high-impact team that works on large-scale, meaningful business challenges. In this role, you'll be shaping and optimizing the pipelines, conducting in-depth statistical analyses, and building predictive models that influence key business decisions. From day one, you'll work closely with stakeholders across functions to explore questions, tell stories through data, and drive innovation through analytics.

You'll have the opportunity to design dashboards with Power BI and Excel, help build end-to-end data pipelines using SQL and Python, and develop your knowledge in statistical modeling, machine learning, and data storytelling. The problems we tackle are challenging and require creativity, critical thinking, and curiosity.

Requirements

Must have

  • 1 to 3 years of experience;
  • Experience with SQL, Python;
  • 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;

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
  • Meals tickets
  • Life Insurance

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