Data Scientist / Senior Data Scientist (Risk Modeling Focus)Berkshire Hathaway Specialty Insurance • United States
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Data Scientist / Senior Data Scientist (Risk Modeling Focus)
Berkshire Hathaway Specialty Insurance
- United States
- United States
Über
Berkshire Hathaway Specialty Insurance (BHSI) is a strategic and trusted insurance partner providing a broad range of commercial property, casualty and specialty insurance coverages. The Data Scientist / Senior Data Scientist will join the Catastrophe Engineering and Analytics team, focusing on applying advanced data science techniques to enhance risk understanding and support underwriting decisions.
Responsibilities : • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets. • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk. • Work with domain experts across teams and perils to enhance our use of available data. • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.
Qualifications : Required : • Advanced degree (Masters or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline. • Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics. • Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions). • Strong applied statistics skills for: Risk modeling, Predictive analytics, Pricing & underwriting analytics, Catastrophe exposure analysis. • Proficiency in statistical and machine learning techniques, including: Regression (GLM, GAM, GAMMs), Time-series forecasting, Gradient boosting, random forests, and other tree-based models, neural networks models, Clustering and segmentation, Bayesian methods. • Hands-on experience with key programming tools: Python (NumPy, pandas, scikit-learn; PyTorch/TensorFlow a plus), R (actuarial/statistical packages), SQL for data extraction and manipulation, Familiarity with Git and Docker is a plus. • Experience with big data and distributed computing (e.g., Spark, Databricks, AWS/GCP/Azure) is a plus. • Ability to work with large structured and unstructured datasets. • Expertise in data cleaning, transformation, and feature engineering. • Experience building automated data pipelines and scalable model workflows. • Ability to translate complex statistical concepts into actionable business insights. • Experience communicating results clearly to actuaries, underwriters, executives, and non-technical stakeholders. • Strong documentation and model governance discipline. • Curious, analytical thinker with strong problem-solving ability. • Ability to work independently in ambiguous problem spaces. • Collaborative mindset — comfortable partnering with actuaries, underwriters, portfolio managers, and engineers.
Preferred : • Strong understanding of property & casualty insurance, including: Exposure modeling, Loss distributions (e.g., Pareto, lognormal, gamma), Catastrophe risk concepts and tail modeling, Portfolio risk aggregation, reinsurance structures, and risk metrics (AAL, PML, TVaR).
Company :
Berkshire Hathaway Specialty Insurance is a company providing risk solutions and claims care. Founded in 2013, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Sprachkenntnisse
- English
Hinweis für Nutzer
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