Data Scientist - Pricing

Role & Responsibilities:

• Provide technical support in creating and managing data assets, ensuring seamless integration with pricing products and business processes
• Support the design and development of end-to-end data architecture for pricing and analytics solutions
• Collaborate with Product, Underwriting, IT, and Actuarial teams to gather, analyze, and translate data requirements into actionable solutions
• Develop and maintain data pipelines, feature engineering workflows, and datasets for pricing models
• Monitor and optimize performance, scalability, and reliability of data solutions and models
• Perform data analysis and suggest steps to enhance pricing strategies
• Ensure data quality, governance, and compliance with regulatory standards
• Support deployment, validation, and monitoring of pricing models in production environments
• Troubleshoot and resolve data-related issues impacting pricing systems

Candidate Profile:

• Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, Engineering, or related field
• 4+ years of experience in data science, analytics, or pricing-related roles
• Understanding of insurance pricing, underwriting, and risk modeling
• Familiarity with insurance concepts and pricing methodologies
• Knowledge of regulatory and compliance requirements in insurance
• Strong proficiency in Python/R for data analysis and modeling
• Expertise in SQL and large-scale data processing
• Experience with machine learning techniques
• Familiarity with data engineering concepts (ETL pipelines, data lakes, warehouses)
• Knowledge of big data technologies is a plus
• Experience with cloud platforms (AWS, Azure, GCP) preferred
• Exposure to data visualization tools (Power BI, Tableau, etc.)
• Strong analytical thinking and problem-solving abilities
• Ability to work in cross-functional, collaborative environments
• Effective communication and stakeholder engagement skills
• Attention to detail and commitment to data accuracy and quality