Newfront is a modern insurance brokerage that combines elite expertise with cutting-edge technology to transform the risk management, business insurance, total rewards, and retirement services space. It offers a wide range of products and services, including casualty, cyber risk, property, workers' compensation, and more, catering to clients across various industries worldwide. Newfront leverages data-driven market intelligence and AI-enabled solutions to provide clients with insights into market trends and cost benchmarks, enhancing their strategic decision-making. The company also provides a connected dashboard for 24/7 access to insurance programs and benefits plans, ensuring transparency and convenience for its clients.
March 26
πΊπΈ United States β Remote
π΅ $168.8k - $211k / year
β° Full Time
π Senior
π Data Scientist
Newfront is a modern insurance brokerage that combines elite expertise with cutting-edge technology to transform the risk management, business insurance, total rewards, and retirement services space. It offers a wide range of products and services, including casualty, cyber risk, property, workers' compensation, and more, catering to clients across various industries worldwide. Newfront leverages data-driven market intelligence and AI-enabled solutions to provide clients with insights into market trends and cost benchmarks, enhancing their strategic decision-making. The company also provides a connected dashboard for 24/7 access to insurance programs and benefits plans, ensuring transparency and convenience for its clients.
β’ Insurance is a trillion dollar market that is fundamental to society, yet it has not modernized β until now. β’ Newfront is building the modern insurance experience. β’ We've reimagined the experience for clients, prospects, and employees. β’ The Data team is a critical organization at the heart of Newfront's data-driven approach. β’ Our mission is to build valuable data products that enable a novel and differentiated experience for our clients and colleagues.
β’ Bachelor's degree in Statistics, Mathematics, Economics, or related quantitative field β’ 5+ years of professional experience in data analytics or data science roles β’ Expert-level SQL skills for complex data manipulation and analysis β’ Strong proficiency in Python, particularly with data analysis libraries and experience implementing predictive analytics models β’ Experience with data visualization tools (Tableau, Looker, PowerBI, or similar) or data visualization libraries β’ Proven track record of successfully leading complex analytical projects from inception to completion, including setting project scope, managing timelines, and delivering high-quality results that drive business impact β’ Experience developing and implementing metrics frameworks or KPI systems β’ Strong analytical thinking and problem-solving skills β’ Excellent communication skills with ability to present complex data insights to both technical and non-technical audiences β’ Experience working in a collaborative, cross-functional environment with demonstrated ability to build strong stakeholder relationships and effectively manage competing priorities across multiple business units
β’ Bonus β’ Restricted stock units β’ Discretionary awards β’ Full range of medical, financial, and/or other benefits β’ 401(k) eligibility β’ Paid time off benefits
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