Senior Data Scientist, ML; Insurance Underwriting

Senior Data Scientist, ML (Insurance Underwriting)

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Guardian is on a transformation journey to evolve into a modern, forward‑thinking insurance company committed to enhancing the wellbeing of its customers and their families. This role presents a distinctive opportunity to drive real‑world impact by applying cutting‑edge AI to transform how Guardian does business.

• Lead use case/workstream with junior data scientists
• Contribute to the end‑to‑end model lifecycle, including data exploration and understanding, feature engineering, model training and validation, ensuring quality, security, scalability, and fairness
• Support use case development that includes initial project scoping, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation
• Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets
• Utilizing advanced statistical and AI/ML techniques to create high‑performing predictive models and creative analyses to address business objectives and partner needs
• Identification of source data and data quality checks both in model/solution development and in production
• Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis
• Propose innovative ways to look at problems through using data mining and data visualization
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Present information using data visualization techniques; communicate results and ideas to key decision makers
• Ensure data accuracy and consistent reporting by performing regular data quality control, prepare and maintain reports, and troubleshoot data anomalies
• Adhere to model governance, documentation, testing, and other best practices in partnership with key stakeholders
• Consistent accuracy and thoroughness in performing work assignments
• Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities
• Contribute to standardization of Data Science tools, processes, and best practices
• Build LLM/AI powered application prototypes with lightweight UI (e.g., Streamlit) to validate usability and support adoption

• Passionate about cutting‑edge technology and keen on applying new AI/ML algorithms and approaches
• Analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems
• Enjoy collaborating with other data scientists to crack hard to solve problems with AI/ML and seeing it deployed in‑market and generating value for Guardian
• Enjoy collaborating with a multi‑disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders

• PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field
• Experience in Insurance Underwriting
• 3+ years of hands‑on ML modeling/development experience
• Background in insurance and underwriting preferred
• Solid understanding of data analysis and statistical modeling
• Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real‑world advantages/drawbacks
• Demonstrated track records in experimental design and executions
• Hands‑on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions
• Strong programming skills in Python
• Solid background in algorithms and a range of ML models
• Excellent communication skills and ability to work and collaborate cross‑functionally with Product, Engineering, and other disciplines at both the leadership and hands‑on level
• Excellent…