About the Role
Title: Senior Data Scientist
Location: United States
Job Description:
Summary
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Job Description
Responsibilities
- 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
Qualifications
- Masters or Ph.D.
- Experience using statistical modeling tools such as SAS, Emblem, DataRobot, Sagemaker, Python, R; experience with Python and AWS Sagemaker preferred
- FCAS or near FCAS with appropriate work experience.
- 7+ years of experience in an actuarial or predictive modeling 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
- Experience working with Guidewire ClaimCenter and/or PolicyCenter data preferred
- Expert SQL skills
- Passion for solving complex data problems
- 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