Actuarial Data Scientist at Shepherd
Jack & Jill · San Francisco, CA · 3 days ago
On-siteEngineering$60/hrFull-time
About the role
The role involves joining the Actuarial & Predictive Analytics team to own end-to-end commercial auto pricing models.
Responsibilities
- Own commercial auto pricing models end-to-end, from initial feature development through production deployment and iterative refinement.
- Design and maintain robust feature pipelines that transform raw submission, claims, and third-party data into high-quality model inputs.
- Collaborate closely with actuaries and underwriters to translate domain expertise into predictive features that improve pricing accuracy and loss ratios.
Requirements
- 3+ years of professional experience building and deploying predictive pricing models for personal or commercial auto insurance in production environments.
- Strong command of statistical methods including GLMs, GBDTs, and Bayesian methods, alongside proficiency in Python and SQL.
- An AI-native mindset with the ability to reason from first principles and communicate complex findings to non-technical stakeholders.
Qualifications
- Advanced degree in Statistics, Mathematics, Computer Science, or a related field.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
- Knowledge of data engineering practices and tools such as Apache Spark, Kafka, or Airflow.
Skills
- Statistical modeling and machine learning techniques.
- Python programming language.
- SQL database management.
- Data visualization and reporting tools such as Tableau or PowerBI.
Benefits
- Competitive compensation package.
- Flexible work schedule.
- Professional development opportunities.
- Work in a dynamic and innovative environment.
Pay
Not disclosed.
Schedule
Full-time.
Benefits
- Health insurance.
- Retirement plans.
- Employee assistance programs.
- Flexible work arrangements.