Job Responsibilities:

• Work with Lead Data Scientist to translate given business problem into analytical use-cases with defined outcomes
• Collaborate with Data Scientists to develop, implement and test most appropriate algorithms for a given use-case; be able to review the work of data scientists and provide guidance
• Translate statistical analysis to insights and recommendations and work with Data Engineers to automate / production Alize them
• Ensure coding standards as well as designing standards to ensure reusability
• Drive innovation by enhancing existing solutions and designing new ones
• Build collaboration and awareness in the global analytics community

Skill Set Required:

• 5-8 years of experience in insurance analytics, data science or similar function
• Expert-level proficiency in at least one statistical tool language (R, Python) with a strong preference towards Python with excellent debugging skills
• Experience with Big Data platforms - Hadoop (Hive, Pig, Map Reduce, HQL)/Spark/H2O-Linux environment
• Strong conceptual understanding of machine learning algorithms including linear regressions, classification algorithms, time series techniques, topic modeling etc.
• Good written, oral communication with ability to communicate effectively with stakeholders
• Basic to mid-level understanding of the insurance risk selection, underwriting practices and experience in analyzing the insurance portfolios is a plus
• Mentoring skills are considered as a plus
• Experience in Big Data technologies like Azure, AWS and advanced analytics concepts like Simulation, Deep Learning etc. are considered as a plus
• Bachelor s degree in a quantitative field required; Masters or PHD preferred

Education:

• 5-8 years of experience in insurance analytics, data science or similar function