Independence Pet Holdings is looking to leverage data science and actuarial expertise to improve their pet insurance products and services, focusing on optimizing risk segmentation, pricing, sales, and retention through advanced modeling and data analysis.
Requirements
- Proficiency in programming languages such as Python, R, or SQL, with experience in data manipulation and statistical analysis.
- Experience with SQL Server and/or Snowflake/Databricks.
- Familiarity with data warehousing concepts and tools.
- Experience with WTW’s Radar suite, including Radar Base and Emblem or Earnix.
- Experience using data visualization tools (Tableau, Power BI, or similar)
- Solid understanding of statistical techniques including GLMs, with the ability to build models and interpret results.
- Familiarity with a broad range of statistical techniques, such as regression modeling, Monte Carlo simulation, GLMs, mixed effects models, gradient boosting, random forests, neural networks, ensemble modeling and time series forecasting.
Responsibilities
- Design and implement data pipelines for collecting, processing, and integrating structured and unstructured data from multiple sources, including internal databases and external data providers.
- Perform root cause analysis and utilize complex SQL queries to investigate data issues such as data inconsistencies, missing data, and errors.
- Ensure data accuracy and integrity by conducting data audits and creating reconciliation processes.
- Database management, including data cleansing, formatting, banding, pre-analysis and integration of data.
- Conduct exploratory data analysis to understand the relationship between data elements and insurance processes such as pricing, conversion, and retention.
- Develop rating plans using predictive models to optimize risk segmentation across a portfolio of products while balancing strengths and weaknesses of each model to the subject product.
- Use advanced statistical techniques to identify key drivers of sales and retention and create/maintain models to forecast expected results.
Other
- 5+ years of experience in a data science role, preferable in the insurance industry (P&C or A&H).
- Strong oral and written communication skills.
- Ability to work efficiently on multiple projects with strong prioritization skills.
- Ability to work independently and as part of a cross-functional team in a fast-paced environment.
- Excellent problem-solving skills, critical thinking abilities, and attention to detail.
