Insurance Data Science Consultant
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Job Description
Insurance data science consultant developing predictive models and pricing strategies for insurers. Supporting Earnix software users through analytics, demonstrations, and training.
Responsibilities:
- Support clients’ usage of Earnix software for data extraction and analysis
- Develop and maintain predictive models to assess risk and customer demand
- Guide pricing strategies across various lines of business
- Utilize machine learning techniques to enhance analytics capabilities
- Communicate complex technical results clearly and tailor presentations for diverse audiences
- Demonstrate software functionality
- Provide training to new users and ensure smooth onboarding
- Develop and review statistical models
- Implement effective pricing strategies
Requirements:
- Extensive experience in the insurance industry, specifically in analytics and predictive modeling
- Proficiency in machine learning methods
- Proficiency in Python and R
- Exceptional communication skills and ability to present technical information accessibly
- Strong ability to engage clients and provide valuable insights through data analysis
- Ideally holding ACAS or near-ACAS designation
Benefits:
- Growth opportunities
- Collaboration with professional and enthusiastic team members
- Competitive benefits with an all-for-one mentality
- Opportunity to work in a successful, fast-moving, mission-driven company
- Impactful role in the organization
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