Data Science Lead

  • 39122
  • Non-Life - Data Science
  • |
  • New York, United States
  • |
  • Feb 17, 2021
  • Develop and implement sustainable solutions for ensuring high quality data/reporting throughout the organization
  • Identify data-quality related issues and take actions to understand root cause and remediate problems
  • Uderstand data in source systems and make interpretation to map to common insurance canonical model
  • Use statistical techniques to cut through the noise and identify the root causes of effects observed in data
  • Strong knowledge of leading data governance and data management practices including experience with insurances data structures and data challenges such as, development and design specialization with Master Data Management, Data Quality, Data Literacy, Metadata and Business Intelligence solutions
  • 8 or more years of work experience in Data, Analytics, Underwriting or Actuarial roles
  • Strong SQL and data movement, design patterns, and data structure
  • Deep understanding of Commercial Lines analytics/metrics/KPIs
  • Strong work experience in Property & Casualty Insurance Industry required
  • Bachelor’s degree required
  • Experience with scripting languages like Python and R (Preferred)
  • Proficient in Microsoft Office (Word, Excel, Outlook, PowerPoint), particularly with data manipulation and pivot tables
  • Excellent problem-solving skills to tackle a variety of data challenges
  • Skillful interpersonal and collaboration required to achieve results within and across diverse organizational units and disciplines
  • Strong sense of ownership and accountability in delivering a solution and following through on its completion
  • Robust attention to detail
  • Strong analytical skills with skillset to identify/implement solutions for operational and/or technical advances around data management