Data Scientist

4 weeks ago


Dallas, Texas, United States UPLAND CAPITAL GROUP INC Full time
Job Description

Upland Capital Group Inc. is seeking a skilled Data Scientist to join our Risk, Analytics, and Data (RA&D) team. As an Excess and Surplus (E&S) carrier, we face unique and interesting problems every day. The ideal candidate will have a strong background in data science, actuarial science, or a related field, with experience in the insurance industry.

The Data Scientist will perform analyses and build models to support decision-making for actuarial, underwriting, claims, and other functions across the organization. This includes translating business requirements into actionable data science projects, curating modeling datasets, building and deploying models, and ensuring robust processes are in place for model documentation, monitoring, and maintenance.

The successful candidate will have a strong understanding of P&C insurance industry, proficiency in programming languages such as Python, R, and/or SQL, and experience with non-relational databases and cloud environments. A bachelor's or master's degree in Mathematics, Statistics, Data Science, Actuarial Science, or a related quantitative field is required.

We are looking for a self-starter, quick learner, and creative problem solver who thrives in a flexible, fast-paced remote-work environment. If you are passionate about data science and want to make a meaningful impact in the insurance industry, we encourage you to apply.

Key Responsibilities
  • Perform analyses and build models to support decision-making for actuarial, underwriting, claims, and other functions across the organization.
  • Translate business requirements into actionable data science projects.
  • Curate modeling datasets using internal and external data sources.
  • Build, test, and deploy models and other analytics products using appropriate techniques.
  • Ensure robust processes are in place for model documentation, monitoring, and maintenance.
Requirements
  • 2+ years of technical experience in a data science, actuarial, or predictive modeling role in the insurance industry.
  • Basic understanding of P&C insurance industry.
  • Self-starter, quick learner, and creative problem solver who thrives in a flexible, fast-paced remote-work environment.
  • Proficiency in programming languages such as Python, R, and/or SQL.
  • Strong knowledge of a variety of techniques and the ability and interest to learn new techniques quickly.

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