Position: Sr. Data Scientist

Job ID:		41139
	
Responsibilities:
  Design and build predictive and machine learning models for insurance use cases
  Analyze complex datasets to understand portfolio trends and customer behavior
  Define modelling objectives and collaborate with business teams on analytical projects
  Validate, tune, and monitor model performance in production environments
  Prepare reports, visualizations, and recommendations to support decision-making
  Develop datasets, perform data quality checks, and identify data limitations
  Support dashboards, reporting automation, and performance tracking metrics
  Research new tools and analytical methods to improve workflows
  Present findings to both technical and non-technical audiences
  Mentor junior analysts and assist with team development and hiring activities
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Qualifications:

· ~5+ years in predictive modelling
· Strong knowledge of statistical and machine learning techniques
· Experience working with large datasets using Python, R, or SAS
· Ability to translate technical results into business insights
· Strong communication and collaboration skills
· Insurance background (pricing, underwriting, or portfolio analytics)
· Model deployment / ML engineering exposure
· Visualization tools such as Power BI or Tableau

-->SALARY:  120-160k  
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