Data Scientist - Machine Learning/Statistical Modeling

About the Role : We are seeking a highly skilled and motivated Data Scientist with a strong background in the insurance domain to join our team. As a Data Scientist, you will play a critical role in leveraging data to drive key business decisions, improve operational efficiency, and gain a competitive advantage. You will work closely with business stakeholders to understand their needs and apply data science techniques to solve complex challenges within the insurance industry. Key Responsibilities : - Analyze large and complex datasets from various sources within the insurance domain (e.g , claims data, policy data, customer data). - Develop and implement predictive models for various insurance applications, such as: - Customer Churn Prediction: Identify customers at high risk of churn and develop strategies to retain them. Fraud Detection: Develop models to identify and prevent fraudulent claims. Risk Assessment: Develop models to assess risk and price insurance policies accurately. Customer Segmentation: Segment customers based on their risk profiles and behavior to personalize product offerings and improve customer experiences. - Utilize statistical and machine learning techniques (e.g , regression, classification, clustering, decision trees, neural networks) to build and deploy predictive models. - Extract, transform, and load (ETL) data from various sources into data warehouses and data lakes. - Cleanse and prepare data for analysis, ensuring data quality and accuracy. - Develop and maintain data pipelines for efficient data processing and analysis. - Leverage expertise in Guidewire PolicyCenter, ClaimCenter, and BillingCenter to understand data structures and business processes within the Guidewire ecosystem. - Utilize Guidewire data for analysis and model development. - Develop and deliver insightful reports and dashboards to communicate data-driven insights to business stakeholders. - Present findings and recommendations to business leaders in a clear and concise manner. - Stay abreast of the latest advancements in data science, machine learning, and the insurance industry. - Explore and implement new data science techniques and technologies to improve business outcomes. Qualifications : Essential : - 4 years of experience as a Data Scientist with a strong focus on the insurance domain. - Proven experience in developing and deploying data science models in a business environment. - Strong proficiency in SQL and experience working with large datasets. - Experience with data visualization tools (e.g , Power BI, Tableau). - Strong analytical and problem-solving skills with a data-driven approach. - Excellent communication and presentation skills. - Master's degree in Statistics, Mathematics, Computer Science, or a related field (ref:hirist.tech)

Location: in, IN

Posted Date: 2/15/2025