Insurance Data Science Consultant

Earnix · Remoto · United States (TZ: -10, -9, -8, -7, -6, -5, 14)

Recebendo candidaturas · conferida em 02/11

Ficha da vaga

Modelo
Remoto
Onde aceita
Não informado
Senioridade
Senioridade não informada
Salário
$78,000-142,000 per year

Fonte: Himalayas · Ver vaga original →

  • python
  • pricing strategy
  • analise dados

Organizei a descrição em seções com IA. O texto completo da vaga está logo abaixo.

Sobre a vaga

Earnix is seeking an Insurance Data Science Consultant with a background in analytics and predictive modeling to support clients, develop statistical models, and implement pricing strategies.

O que você vai fazer

  • Develop and maintain predictive models to assess risk and customer demand, guiding pricing strategies across various lines of business.
  • Utilize machine learning techniques and programming languages such as Python and R to enhance analytics capabilities.
  • Communicate complex technical results clearly and effectively, tailoring presentations for diverse audiences.
  • Demonstrate software functionality and provide training to new users, ensuring a smooth onboarding process.

O que pedem

  • Extensive experience in the insurance industry, specifically in analytics and predictive modeling.
  • Proficiency in machine learning methods and programming languages (Python and R).
  • Exceptional communication skills, with a knack for presenting technical information in an accessible manner.
  • Strong ability to engage clients and provide valuable insights through data analysis.

Descrição completa da vaga

Description Join our dynamic team at an innovative insurance software company! We are seeking a Professional Services Consultant with a strong background in analytics within the insurance industry, ideally holding ACAS or near-ACAS designation. In this role, you will be instrumental in supporting our clients’ usage of our software for data extraction and analysis, developing and reviewing statistical models, and implementing effective pricing strategies. What you’ll do: Develop and maintain predictive models to assess risk and customer demand, guiding pricing strategies across various lines of business. Utilize machine learning techniques and programming languages such as Python and R to enhance analytics capabilities. Communicate complex technical results clearly and effectively, tailoring presentations for diverse audiences. Demonstrate software functionality and provide training to new users, ensuring a smooth onboarding process. Requirements You’ll do it using: Extensive experience in the insurance industry, specifically in analytics and predictive modeling. Proficiency in machine learning methods and programming languages (Python and R). Exceptional communication skills, with a knack for presenting technical information in an accessible manner. Strong ability to engage clients and provide valuable insights through data analysis. You’ll excel by: Focusing on the art of the possible Communicating with honesty, candour, and respect Collaborating seamlessly with colleagues across the company Being resourceful and creative Acting with empathy You’ll love it because: This is an incredibly impactful role in the organization. You will have the opportunity to work in a successful, fast-moving, mission-driven company. You will have growth opportunities. You will collaborate with other professional and enthusiastic team members. Earnix has competitive benefits with an all-for-one mentality. Salary Range: $78,000-142,000 per year Position Intro Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel. Originally posted on Himalayas

Perguntas e respostas sobre a vaga

Aceita candidatos de onde?
A vaga não diz.
Qual o regime de contratação?
A vaga não diz.
É remota?
Sim, é remota.
Informa salário?
Sim: $78,000-142,000 per year.

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