Develop leading edge predictive models on data from multiple insurance companies
Perform all functions required to build and evaluate models end to end including:
Data Preparation
External data research and acquisition
Data profiling and harmonization across carriers
Feature development
NLP/ML modeling
Model validation and interpretation
Business value assessment and product pricing analyses
Additional work assignments not related to specific project work such as new feature development, external data research, providing user feedback on new products and tools under development
At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.
Qualifications
Bachelors degree
Deep Python experience for feature engineering and statistical modeling, experience with Sagemaker preferred
Demonstrated experience building and operationalizing predictive models for claims
Expert SQL skills
ACAS or CSPA preferred, but will consider near ACAS statisticians and data scientists with appropriate work experience.
2-6 years of experience in an actuarial or data science role role in the US or Canadian P&C industry either with a carrier or consulting firm
Experience with P&C policy administration and claims processing concepts
Passion for solving complex data problems
Experience working with Guidewire ClaimCenter and/or PolicyCenter data preferred
Experience and skill in communicating insights to both technical and non-technical personnel at all levels of the organization
Strong customer orientation and ability support sales conversations with customers
Ability to plan and carry out projects with minimal direction, yet a team player
Self-motivated and detail-oriented
Demonstrated ability to embrace AI and apply it to your role as well as use data-driven insights to drive innovation, productivity, and continuous improvement.
