Senior Data Scientist

  • 38883
  • Non-Life - Data Science
  • |
  • New Jersey, United States
  • |
  • Jan 14, 2021
Reinsurance
RESPONSIBILITIES
  • Independently lead analytics projects to help improve the business results or operation efficiencies.
  • Provide consultation & clarification on analytics techniques and methodologies
  • Perform analytics analysis of insurance data and provide detailed business insights to the stakeholders to facilitate the development of insurance/reinsurance business solutions
  • Work with internal business partners and external clients to obtain a good understanding of the needs of the business and the types of complex analysis that support business goals.
  • Develop and maintain analytics-ready data sets that will be used for analytics purposes. Ensure data integrity.
  • Explore cutting-edge machine learning/deep learning/NLP techniques in business application.
QUALIFICATIONS
  • Advance degree (Master's or PhD) in Statistics, Mathematics or related field
  • 6+ years of data analytics experience, 4+ years of (re)insurance experience
  • Proficient in SQL and business intelligence tool (Power BI, Tableau, etc.)
  • Proficient in R, Python or other statistical program languages
  • Strong working knowledge and deep understanding of the theories behind the common statistical modeling techniques and machine learning algorithms, prior experience in deep learning/NLP preferred
  • Working experience in building data pipelines/machine learning pipelines on cloud computing platform
  • Good understanding of Property & Casualty insurance operations, CAS exams passed/actuarial experience is preferred
  • Strong analytics and problem-solving capabilities required
  • Good communication skills to effectively explain analysis, both verbally and in writing, to others and translate analysis into a clear business plan
  • Strong time management and organizational skills