Senior Data Scientist IAre you an actuarial professional who wants to build models that influence underwriting, risk segmentation, and decision-making across the insurance industry, without being confined to traditional rate-making roles?We are seeking a Senior Data Scientist I with a strong actuarial foundation to join our Insurance Analytics team, focused on the commercial insurance market. In this role, you will design and develop predictive models that are embedded in carrier workflows and used to inform underwriting decisions, segmentation strategies, and downstream pricing models.Unlike traditional actuarial roles, you will focus on building external-facing risk models and attributes that insurers integrate into their pricing and underwriting frameworks. This is an ideal opportunity for someone with actuarial training who enjoys applying statistical modeling and analytical thinking to broader insurance problems at scale.Responsibilities:Developing predictive risk models and attributes used by insurers in underwriting, segmentation, and decisioning workflowsApplying actuarial principles and statistical modeling techniques to assess risk and improve model performanceDesigning and implementing models that are integrated into carrier underwriting processes and downstream pricing frameworksTranslating complex analytical outputs into clear, defensible insights for business and product stakeholdersPartnering with Product and Vertical teams to solve insurance-specific problems related to risk evaluation and segmentationManaging and analyzing large, complex datasets, including data storage, processing, and quality assuranceApplying best practices for data validation, testing, and model performance monitoringCollaborating with team members to share knowledge, strengthen capabilities, and contribute to a strong analytical cultureMaintaining a strong understanding of team tools, technologies, and evolving industry trendsCommunicating progress, insights, and outcomes clearly to stakeholdersSupporting team excellence by upholding high standards of quality, accountability, and executionRequirements:Minimum undergraduate degree in relevant field and 4+ years of relevant work experienceOr a master's degree in a relevant field and 2+ years of relevant work experience.Or a PhD in a relevant field.Strong actuarial foundation, including experience applying actuarial concepts to insurance risk, underwriting, or segmentation problemsProgress toward actuarial credentials (ASA or equivalent) strongly preferredStrong expertise in Python.
Coding skills in R, SQL, ECL are a plus.Experience developing or supporting risk segmentation models (e.g., GLMs) in an insurance context and in Department of Insurance filings.Experience translating actuarial models into production-ready analytical solutions.Strong foundation in statistical and mathematical modeling, including model assumptions, diagnostics, and interpretability. This includes linear and non-linear models along with ML techniques.Extensive programming skills in Python and/or R for statistical modeling and data analysisStrong ability as a self-starter to learn new technologies and to share cross-functional knowledge across the teams nice to have.Technical/Professional Experience:Able to build or test new processes with senior guidance. Domain expert in Data Science, Actuarial Science and/or Statistical Analysis to build advanced models and roll into production.Scopes and execute analytical approaches for moderately complex problems, seeking input where needed.Supports, maintains, and enhances existing models (e.g., GLM and tree-based methods).Applies statistical, mathematical, predictive modeling and analytical techniques to work with large, complex datasets from diverse sources.Data Skills:Independently prepares, cleans, and transforms data for analysis and modeling.Applies a range of data processing techniques and explores new methods to improve data quality and usability.Project Management Skills:Owns and delivers components of projects independently, including planning and execution of key tasks.Contributes to larger, more complex projects by executing defined workstreams and meeting timelines.Domain/Industry Skills:Experience working with insurance data, risk modeling, or underwriting-related problemsUnderstanding of how predictive models are used within carrier underwriting and pricing workflowsFamiliarity with regulatory or model governance considerations is a plusBehavioral Competencies:Takes initiative and ownership of work, proactively addressing challenges and identifying opportunities for improvement.Collaborates effectively with teammates, supporting a positive and accountable team environment.Balances innovation with practical business needs and team prioritiesDemonstrates accountability, follows through on commitments, and maintains high standards of work.Shows willingness to stretch beyond core responsibilities and support team success.Working for you:We know that your wellbeing and happiness are key to a long and successful career.
These are some of the benefits we are delighted to offer:Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefitsRetirement Benefits: 401(k) with match and an Employee Share Purchase PlanWellbeing: Wellness platform with incentives, Employee Assistance and Time-off ProgramsShort-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital IndemnityFamily Benefits, including bonding and family care leaves, adoption and surrogacy benefitsHealth Savings, Health Care, Dependent Care and Commuter Spending AccountsU.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.
This job is eligible for an annual incentive bonus.We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.USA Job Seekers: EEO Know Your Rights.