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

Python/R for data analysis and modeling

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

Data Scientist - Insurance Pricing

Job Description