Perform ad-hoc and recurring analyses across all insurance business units (e.g., pricing, underwriting, claims, operations, etc.) and lines of business.
Extract insights from structured and unstructured data sources, including text.
Develop end-to-end data science and analytics solutions (for all business units), including data preparation, model development, testing, documentation, implementation, monitoring, and iteration.
Identify required technology and tools to support analysis and solutions, collaborating with other teams to implement these tools.
Develop and implement data pipelines to support analytical needs and tools.
Augment existing datasets with derived data and external information.
Design visualizations and dashboards to support insight sharing and enable real-time performance monitoring.
Implement these solutions utilizing dashboarding tools and custom web applications.
Collaborate cross-functionally with IT, Data, Claims, Underwriting, Actuarial, Finance, and Leadership to identify and solve high-impact problems.
Work with these stakeholders to define the data science and analytics needs and become a trusted business partner by delivering on these requirements.
Contribute to the prioritization and roadmapping of data and analytics initiatives.
Communicate findings effectively to both technical and non-technical audiences.
Continuously seek opportunities to learn new skills and techniques, and actively share knowledge with peers.

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
Minimum of 5 years of relevant experience in data science and analytics, including machine learning
Strong proficiency in Python or R for statistical analysis, model development, and application deployment
Experience setting up and using various different data science tools (e.g. Airflow, Jupyter Notebooks, H20, Spark, etc.)
Experience with dashboarding tools (e.g. Tableau, Power BI, etc.)
Advanced SQL skills for data extraction, transformation, and manipulation
Proven track record of end-to-end development of machine learning models
Experience with data visualization tools such as Tableau or Power BI

Senior Data Scientist

Key skills