Data Scientist

Experteer Overview In this Data Scientist role, you will blend geospatial analytics, statistics, machine learning, and software development to enhance underwriting and risk management. You’ll build scalable analytics tools and work with cross-functional teams to drive profitable growth. The work covers modeling, data pipelines, and geospatial data curation to inform pricing and risk decisions. You will shape analytics solutions in a fast-paced, data-driven environment with real-world impact. Compensation / Benefits * Deliver analytical insights as part of a cross-functional team (Product Development, Underwriting, Cat Modeling, Data and Risk Management). * Design and develop statistical, geospatial, and machine learning models to improve underwriting performance and portfolio management. * Analyze spatial, exposure, catastrophe, and loss data to identify trends and opportunities. * Execute predictive analytics and AI models to support pricing, underwriting, and operations. * Apply statistical techniques such as regression, clustering, classification, time series, and causal inference to solve business problems. * Support building software applications and analytical tools that automate underwriting and risk analysis. * Build reusable data pipelines and automate data collection, cleansing, transformation for underwriting, product development and risk management. * Design and maintain geospatial datasets using internal and third-party data sources. * Develop software applications and APIs that support underwriting analytics and business decisions. * Mentor junior team members and promote best practices for AI use within the department. * Perform other duties and special projects as assigned Tasks * Bachelor’s degree in a quantitative discipline * 5-7 years of experience in data science, analytics, software development, or geospatial analytics * Experience with statistical modeling techniques and building predictive models using Python, SAS or R * Experience developing solutions using SQL and relational databases * Experience working with large structured and unstructured datasets * Experience using GIS platforms such as ESRI ArcGIS, ArcGIS Pro, ArcObjects, or equivalent geospatial technologies * Experience developing automated data processing and analytical workflows * Experience building software applications or analytical tools that support business operations * Strong problem-solving and communication skills Key requirements *

solutions techniques such as regression, clustering, classification, time series, and causal inference to solve business problems. * Support building software applications and analytical tools that automate underwriting and risk analysis. * Build reusable data pipelines and automate data collection, cleansing, transformation for underwriting, product development and risk management. * Design and maintain geospatial datasets using internal and third-party data sources. * Develop software applications and APIs that support underwriting analytics and business decisions. * Mentor junior team members and promote best practices for AI use within the department. * Perform other duties and special projects as assigned Tasks * Bachelor’s degree in a quantitative discipline * 5-7 years of experience in data science, analytics, software development, or geospatial analytics * Experience with statistical modeling techniques and building predictive models using Python, SAS or R * Experience developing solutions using SQL and relational databases * Experience working with large structured and unstructured datasets * Experience using GIS platforms such as ESRI ArcGIS, ArcGIS Pro, ArcObjects, or equivalent geospatial technologies * Experience developing automated data processing and analytical workflows * Experience building software applications or analytical tools that support business operations * Strong problem-solving and communication skills Key requirements *