Job Description

Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world
Team Function:

We are looking for a member of Property Data Science team. This team works on design, development and maintenance of the class plan for Home, Renter, Condo policies as well as models related to running the business in Property area. The team's day to day activities include:

• preparing data from variety of first and third party data sources,
• creation of the code base that allows us to understand, transform and model this data
• building models and submodels to effectively segment risks
• implementing models in ML Ops environment
• execute on monitoring activities that ensure proper implementation and performance of the deployed products
• work with team members to address questions about our models, as well as questions from regulators

• The team member utilizes working knowledge and experience to apply analytics and modeling techniques to improve business results. Performs routine assignments and leverages customer information and behavioral data to influence strategic business decisions while using analytics, multi-variate models, machine learning and data mining technologies. Assists in projects operationalizing business decisions while receiving moderate guidance and direction from more senior roles.
• Executes on standard business challenges involving data science. Succeeds in projects by scoping, defining measures of success, utilizing a data science vision for project success, and accomplishes successfully within prescribed timelines. Executes on routine projects with a sense of urgency.
• Utilizes conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work. Utilizes basic knowledge of programing, ETL and modeling methods to execute projects and assists the team through examples of good technical skills.
• Partners closely with IT, business, and data management/engineering teams to understand, utilize, and improve data infrastructure. Advises on general matters and serves as an objective and transparent partner to drive fact-based decision making and a measures of success culture.
• Contributes to development of presentations and presents to leadership. Occasionally communicates complex technical material understandable to non-technical associates.
• Executes basic to intermediate model deployments via established MLOps techniques. Works with analytics and IT teams to deploy models/rules.

Requirements

English Proficiency

• Minimum Required: Fluent

Required Education

• Minimum Required: Bachelor

Other Critical Skills

• Working with large-scale structured and unstructured multidimensional data - Advanced
• Techniques such as hypothesis testing, clustering analysis and other statistical tools - Advanced
• Predictive modeling - Advanced
• ML/AI deployment practicies - Entry Level

Software / Tool Skills

• Microsoft office suite - Advanced
• SQL - Advanced
• Python - Entry Level
• SAS - Entry Level
• Cloud data mgt tools like Snowflake - Entry Level
• Expertise in R - Intermediate

Benefits

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health and Dental Insurance
7. Pension Plan
8. Meals tickets
9. Life Insurance