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Data Scientist - Insurance Modeling (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist - Insurance Modeling in the United States.. We are seeking a skilled Data Scientist to join a dynamic team focused on advancing insurance modeling and analytics. In this role, you will design, implement, and maintain predictive models for pricing, risk assessment, and underwriting, leveraging advanced statistical and machine learning techniques. You will collaborate closely with cross-functional teams, educating stakeholders on model application and supporting the adaptation of models for state-specific regulations. This position offers exposure to cutting-edge data analytics in the insurance sector, with opportunities to influence product strategy, enhance decision-making frameworks, and contribute to innovative approaches such as telematics integration. Strong analytical skills, business acumen, and technical expertise are essential to drive impactful outcomes.. . Accountabilities. . Develop, implement, and maintain predictive models for insurance pricing, risk management, and underwriting using statistical and machine learning techniques.. . Support business partners by providing tools, guidance, and education on model application and decision-making processes.. . Conduct thorough analyses to inform recommendations aligned with corporate growth and profitability objectives.. . Plan and execute projects of moderate complexity with minimal direction, ensuring deliverables meet quality and timeline expectations.. . Track and communicate project progress, performance, and status updates to stakeholders.. . Contribute to the development of new insurance products, processes, and rating plans while ensuring compliance with regulations.. . Mentor peers and share expertise to enhance the team’s overall analytical capabilities.. . . . Bachelor’s degree in Finance, Mathematics, Statistics, Economics, or a related field.. . Proven experience in the insurance industry, with knowledge of personal or commercial lines and rating plan design.. . Strong analytical skills and familiarity with statistical modeling techniques such as linear/logistic regression, GLM, GAM, or GBM.. . Proficiency in programming languages such as Python, R, SAS, or SQL for data analysis and model development.. . Working knowledge of insurance regulations and business constraints.. . Ability to analyze data, validate results, and resolve data issues effectively.. . Excellent verbal and written communication skills for collaboration across multidisciplinary teams.. . Strong organizational, project management, and decision-making capabilities.. . Demonstrated ability to work independently and within a team environment.. . . Company Location: United States.