Data Scientist

Details of the offer

Role Title: Data ScientistThe candidate develops innovative predictive models and analytical tools to improve profitability, growth, and operational efficiency. This position will help support predictive modeling needs across a growing portfolio of high-profile advanced analytics projects with the Strategic Analytics team supporting Claim. As a key member of the team, you will also play a role in advancing predictive modeling capabilities, enabling Arch to make better decisions.
ResponsibilitiesCollaborate with experienced modelers to build predictive models and analytic solutions using Python or R; apply techniques such as GLM, GAM, and decision trees.Manipulate data using R or SQL Server; develop advanced ad hoc queries to investigate data anomalies and to summarize data for pattern detection.Develop Python or R functions and SQL stored procedures to automate recurring tasks.Create and maintain documentation associated with models.Assist in implementation and testing of models.Develop dashboards in Power BI to facilitate analyses that support modeling efforts or enable model usage.Monitor the performance and usage of models.QualificationsAt least 3 years' predictive modeling experience in a professional setting, using tools such as Python, R, or SQL.The ideal candidate will have experience working in the insurance industry.Detail-oriented with strong organizational skills.Excellent critical thinking skills in order to tackle complex data challenges.Comfortable working in a fast-paced and highly collaborative global team.Ability to effectively communicate technical topics to different target audiences.Technical Skills Proficiency Level Required (R) /Optional (O)Predictive Modeling 4 RR, Python or equivalent Stat Program 4 RSQL Server or equivalent data management tool 3 RProperty & Casualty Insurance Experience 2 OMicrosoft Excel 2 RQlikview or Power BI 1 OAdditional InformationBS in Mathematics, Statistics, Actuarial Science, Data Analytics, Computer Science, or equivalent.
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Nominal Salary: To be agreed

Source: Grabsjobs_Co

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