Senior Data Scientist

• 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

Experience