Guardian Life · 4 weeks ago
Senior Data Scientist, ML (Insurance Underwriting)
New York, NY
Full-time
Hybrid
Mid, Senior Level
$119K/yr - $195K/yr
4+ years expGuardian Life is on a transformation journey to evolve into a modern, forward-thinking insurance company. The Senior Data Scientist will lead the development of advanced data science solutions leveraging machine learning and artificial intelligence to drive enterprise-wide innovation across various business lines and Guardian products.
DentalFinancial ServicesHardwareInsuranceLife Insurance
No H1B
Responsibilities
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
Qualification
Required
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
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 analytical and problem-solving abilities with superb attention to detail
Proven experience in providing technical leadership and mentoring to data scientists and strong project management skills with ability to monitor/track performance for enterprise success
Experience communicating complex ideas simply, presenting impact, trade-offs, and recommendations to non-technical partners
Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging, ...)
Working knowledge of NLP, LLMs, RAG architecture, and agent frameworks, including safe automation design and evaluation systems
Preferred
Background in insurance and underwriting preferred
Experience in insurance, financial services, or related industries is a plus
Benefits
Support and flexibility to achieve your professional and personal goals
Skill-building, leadership development and philanthropic opportunities
Opportunities to build communities and grow your career
Contemporary, supportive, flexible, and inclusive benefits and resources
Company
Guardian Life
Guardian Life Insurance Company of America (Guardian) is one of the country’s leading mutual insurers.
5001-10000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2016-08-23Non Equity Assistance
Leadership Team
Andrew McMahon
Chairman and CEO
Michael Prestileo
Chief Strategy Officer
Recent News
2025-12-11
Company data provided by crunchbase