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Remote opening for Actuarial Data Scientist. Build and authenticate predictive models for hotel, airline, and retail reward programs; manipulate data using Python, Power BI, Spark, Hadoop, and/or SQL; analyze business problems, assess results of implemented solutions, and present analysis to key stakeholders. Ideal candidate is pre-ACAS through new FCAS with 3+ years of P&C machine learning, data science, and/or predictive modeling experience. Background in Python, SQL, Hadoop, Spark, and/or Power BI a plus. (PR13069)
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