Senior Actuarial Data Scientist - Hybrid / Remote from Texas

D.W. Simpson

$164K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • ACAS or FCAS required
  • Minimum of 5 years of actuarial experience
  • Strong skills in predictive modeling and machine learning
  • Proficiency in advanced SQL and Python
  • Demonstrated leadership in managing multiple projects

Responsibilities

  • Perform advanced analytics to improve pricing strategies
  • Utilize machine learning techniques for data-driven insights
  • Revamp current insurance analytics methodologies
  • Incorporate catastrophe (CAT) modeling into analytics processes
  • Collaborate with cross-functional teams to drive innovation

Benefits

  • Hybrid work environment with remote options in Texas
  • Opportunity to lead impactful projects
  • Access to cutting-edge analytical tools and technology
  • Engagement with a well-rounded insurance company focused on industry innovation
  • Professional development opportunities in a dynamic setting
Full Job Description
Drive change and innovation in the industry. Well-rounded insurance company is seeking a Senior Actuarial Data Scientist who will perform advanced analytics using predictive modeling, machine learning, & other advanced techniques. This individual will be part of a team working to advance pricing, revamp insurance analytics, and incorporate CAT modeling. The ideal candidate would be an ACAS or FCAS with at least 5 years of actuarial experience and proven data science skills. Must be able to lead multiple projects and have advanced SQL & Python skills. (#58674) Compensation: $164K base Location: Waco, TX / Hybrid Remote in TX

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