• Lead the migration and integration of enterprise data across systems using SQL, SSIS, and related data movement technologies. • Design and oversee data integration processes that support enterprise system interoperability. • Ensure data migrations are delivered with high levels of accuracy, completeness, and validation controls. • Coordinate the end-to-end lifecycle of data integrations including discovery, source-to-target mapping, build, testing, and deployment. • Partner with business and technical stakeholders to gather integration requirements and understand system dependencies. • Define data attributes, transformation rules, and mapping logic necessary for successful integration. • Identify data quality risks and remediation strategies prior to integration or migration activities. • Facilitate integration discovery workshops and architecture discussions with client teams. • Design scalable integration solutions leveraging SQL, SSIS, and enterprise integration patterns. • Oversee the development and execution of data pipelines, transformation logic, and integration workflows. • Ensure integrations align with enterprise architecture standards and system interoperability requirements. • Establish and maintain documentation including source-to-target mappings, integration specifications, and technical runbooks. • Identify and address data quality considerations during migration and integration processes. • Work with data governance teams to ensure integrations follow data standards and stewardship practices. • Implement validation and reconciliation processes to ensure data integrity across systems. • Continuously expand technical capabilities by learning and adopting modern integration technologies and iPaaS platforms. • Support the organization’s transition from traditional ETL approaches toward cloud-based integration architectures. • Contribute to the development of modern integration frameworks and reusable patterns.

• Collaborate with our data science team and business leads to pursue research in areas of high business impact • Drive CSAA’s knowledge of our customers through research projects from data collection to model development • Provide recommendation based on well-documented, reproducible analysis from large datasets • Work on a capstone project throughout the summer related to data analysis within the insurance industry and present findings to senior management

• You'll own the full lifecycle from messy data to actionable insight, collaborating with an interdisciplinary team to shape the technical direction of our work. • Build end-to-end modeling pipelines. Improve pipeline reliability, data quality checks, and model diagnostics to increase confidence in our modeling outputs. • Develop models, perform feature engineering, and contribute new ideas to improve our core data science approach. Our problems are not well suited to plug-and-play ML solutions. We often have to think creatively about the right ways to evaluate model performance. • Deliver actionable guidance to internal stakeholders, translating the nuances of model output into clear strategic insight. • Build subject matter context and interrogate the data to distinguish real signal from potential bugs. • Scope technical needs alongside engineers, statisticians, and political analysts, then ship the solution.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior Data Scientist applies advanced analytics, predictive modeling, and data science techniques to solve complex Property & Casualty (P&C) insurance business problems. This role partners closely with business and technical stakeholders to develop insights that improve pricing accuracy, underwriting performance, claims efficiency, and overall risk management. Responsibilities - Design, develop, and maintain predictive models, algorithms, and analytical solutions supporting pricing, underwriting, claims, and other P&C insurance functions - Apply advanced analytics and machine learning techniques to identify trends, risks, and business opportunities - Translate business and strategic objectives into clear analytics, reporting, and data requirements - Analyze large, complex datasets (structured and unstructured) using SQL, Python, Spark, or similar tools - Document, present, and explain modeling methodologies and results for business partners and regulatory review - Identify, evaluate, and integrate internal and external data sources to meet business needs - Collaborate with cross-functional teams to deliver practical, production-ready analytical solutions - Promote analytics best practices and provide consultation on data-driven initiatives - Evaluate third-party data, models, and analytical tools in partnership with vendors Qualifications - 6+ years of advanced analytics, data science, or predictive modeling experience - 3+ years of Property & Casualty insurance experience (strongly preferred in commercial P&C pricing, rating, or risk-tiering models) - Strong knowledge of P&C insurance data, data sources, and business processes - Proficiency in Python, R, SAS, or similar statistical programming languages (experience with at least two preferred) - Experience working with large datasets using SQL, Spark, or cloud-based data platforms - Familiarity with MLOps and machine learning platforms such as Databricks, Snowflake, Dataiku, or similar - Strong written and verbal communication skills with the ability to explain complex analytics to business audiences - Self-motivated, analytical, and collaborative mindset Education & Credentials (Preferred) - Master’s degree or equivalent experience in Data Science, Statistics, Mathematics, Economics, Computer Science, Operations Research, or a related field - P&C insurance credentials such as ACAS, FCAS, CPCU, or CSPA Benefits - Medical & Prescription Insurance - Health Savings Account - Dental Insurance - Vision Insurance - Short and Long Term Disability - Flexible Spending Accounts - Life and Accidental Death & Disability - Accident and Critical Illness Insurance - Employee Assistance Program - 401(k) Plan with Company Match - Pet Insurance - Paid Time Off. Standard first year PTO is 17 days, pro-rated based on month of hire. - Enhanced PTO may be available for experienced candidates - Bonus eligible based on performance