Sr. Data Architect

Our client is seeking a Senior Data Scientist I with a strong actuarial background to join their Insurance Analytics team. This role is ideal for an actuarial professional who enjoys applying statistical modeling and data science to real-world insurance problems beyond traditional rate-making. The Senior Data Scientist will develop predictive risk models and analytical attributes that help insurers improve underwriting, risk segmentation, pricing, and decision-making . The ideal candidate will have hands-on experience with actuarial modeling, GLMs, statistical analysis, and Python, along with an understanding of how predictive models are incorporated into insurance workflows. APay: 130k - 150k Key Responsibiliti esDevelop predictive risk models and attributes used in underwriting, segmentation, and insurance decisionin g.Apply actuarial principles and statistical modeling techniques to evaluate risk and improve model performanc e.Build and support models such a s GLMs and tree-based metho ds for insurance application s.Design models that can be integrated into carrier underwriting processes and downstream pricing framework s.Analyze and manage large, complex datasets from multiple source s.Prepare, clean, transform, and validate data for statistical modeling and analysi s.Apply data quality, testing, and model performance monitoring best practice s.Translate complex analytical findings into clear, actionable insights for Product, Business, and other stakeholder s.Partner with Product and Vertical teams to solve insurance-specific problems related to risk evaluation and segmentatio n.Support model development, maintenance, enhancement, and production implementatio n.Contribute independently to project workstreams while collaborating on larger, complex initiative s.Communicate project progress, analytical insights, and outcomes effectivel y.Stay current with data science, actuarial, statistical, and insurance industry trends and technologies s.Required Qualificatio nsBachelor's degree in a relevant field wit h 4+ years of relevant experien ce, ORMaster's degree in a relevant field wit h 2+ years of relevant experien ce, ORPhD in a relevant fiel d.Strong actuarial foundation with experience applying actuarial concepts t o insurance risk, underwriting, or segmentati o n.Strong proficiency i n Pyth on for statistical modeling and data analysi s.Experience developing or supportin g risk segmentation mode ls, including GLMs, within an insurance environmen t.Experience with insurance data, risk modeling, or underwriting-related problem s.Experience translating actuarial/statistical models int o production-ready analytical solutio n s.Strong understanding of statistical and mathematical modeling, including model assumptions, diagnostics, interpretability, linear/nonlinear models, and machine learning technique s.Ability to independently prepare, clean, transform, and analyze large, complex dataset s.Strong analytical, problem-solving, and communication skill s.Ability to independently own project components, manage priorities, and meet deadline s.Preferred Qualificatio nsProgress towar d ASA or equivalent actuarial credentia ls strongly preferre d.Experience wit h R, SQL, and/or E C L.Experience working wit h Department of Insurance filin g s.Experience with insurance pricing and underwriting workflow s.Familiarity with regulatory requirements and model governanc e.Experience with additional machine learning techniques and predictive modelin g.Ability to learn new technologies quickly and share knowledge across cross-functional team #J-18808-Ljbffr Motion Recruitment