FBS - Associate Data Scientist at Capgemini

Remote - Brazil

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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.

Team Function: We are looking for a member of Property Data Science team. This team works on design, development and maintenance of the class plan for Home, Renter, Condo policies as well as models related to running the business in Property area. The team's day to day activities include:

Requirements

Education

  • Bachelor

Skills

  • Working with large-scale structured and unstructured multidimensional data
  • Techniques such as hypothesis testing, clustering analysis and other statistical tools
  • Predictive modeling
  • ML/AI deployment practicies
  • Microsoft office suite
  • SQL
  • Python
  • SAS
  • Cloud data mgt tools like Snowflake
  • Expertise in R

Languages

  • English - Fluent

Responsibilities

  • The team member utilizes working knowledge and experience to apply analytics and modeling techniques to improve business results. Performs routine assignments and leverages customer information and behavioral data to influence strategic business decisions while using analytics, multi-variate models, machine learning and data mining technologies. Assists in projects operationalizing business decisions while receiving moderate guidance and direction from more senior roles.
  • Executes on standard business challenges involving data science. Succeeds in projects by scoping, defining measures of success, utilizing a data science vision for project success, and accomplishes successfully within prescribed timelines. Executes on routine projects with a sense of urgency.
  • Utilizes conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work. Utilizes basic knowledge of programing, ETL and modeling methods to execute projects and assists the team through examples of good technical skills.
  • Partners closely with IT, business, and data management/engineering teams to understand, utilize, and improve data infrastructure. Advises on general matters and serves as an objective and transparent partner to drive fact-based decision making and a measures of success culture.
  • Contributes to development of presentations and presents to leadership. Occasionally communicates complex technical material understandable to non-technical associates.
  • Executes basic to intermediate model deployments via established MLOps techniques. Works with analytics and IT teams to deploy models/rules.

Technologies

Microsoft office suiteSQLPythonSASCloud data mgt tools like SnowflakeR

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