Data Scientist – Insurance Analytics Remote (10 am-6 pm EST) 6-Month Contract to Hire $60-80/hr About the Role Our client, a specialized provider in the non-standard insurance space, is seeking a highly analytical and hands-on Data Scientist for a 6-month contract-to-hire position. This role is ideal for someone with 3–5 years of experience in data science or actuarial analytics, particularly within insurance domains. The successful candidate will have a strong foundation in predictive modeling, machine learning, and insurance business applications such as loss modeling, retention analysis, and close rate modeling. Key Responsibilities • Build and maintain predictive models focused on loss prediction, retention, and close rates. • Leverage machine learning techniques, including time series analysis and unsupervised learning, to uncover patterns in complex insurance data. • Perform data wrangling to clean, merge, and transform datasets from multiple internal and external sources. • Conduct inferential statistical analysis to support underwriting, pricing, and business strategy decisions. • Collaborate with actuarial, underwriting, and business teams to translate data insights into actionable recommendations. • Monitor model performance over time and support ongoing model validation and recalibration efforts. • Develop compelling data visualizations and dashboards (preferably in Power BI; Tableau experience also acceptable). • Communicate findings through strong data storytelling and synthesis, tailored to both technical and business audiences. Required Skills & Experience • 3–5 years of experience as a Data Scientist, preferably within insurance, actuarial analytics, or related domains. • Strong programming and data skills: • Python, SQL, and R • Proven experience with data wrangling and ETL workflows • Expertise in predictive modeling and machine learning, particularly for insurance applications • Solid foundation in inferential statistics, unsupervised learning, and time series modeling • Experience working with insurance data, including claims, underwriting, policy, and exposure data • Strong experience in data visualization using Power BI or Tableau • Ability to present technical results clearly and persuasively to business stakeholders Nice to Have • Experience in non-standard auto or specialty insurance lines • Progress toward actuarial exams (SOA or CAS) • Familiarity with cloud data environments (e.g., AWS, Azure)