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5 дней назад

Actuarial Data Scientist (Insurance)

145 000 - 180 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Actuarial Data Scientist (Insurance): Building and deploying predictive loss cost models for homeowners insurance with an accent on frequency and severity modeling, pricing strategy, and production-ready Python and SQL workflows. Focus on designing by-peril models, scaling Airflow-based pipelines, validating statistical models, and translating complex actuarial insights into business recommendations.

Location: Flexible hybrid role based in the San Francisco Bay Area, Austin, Dallas, or Morristown, New Jersey; candidates may relocate to one of the U.S. hub locations with relocation assistance.

Base pay: $145,000–$160,000 in the Austin and Dallas regions; $155,000–$180,000 in the San Francisco Bay Area and New Jersey.

Company

hirify.global uses technology and data to simplify homeownership and operates as a diversified carrier platform serving homeowners and insurance program partners.

What you will do

  • Lead homeowners insurance modeling efforts and establish technical standards, priorities, and best practices.
  • Design and build annual by-peril loss cost models for frequency and severity.
  • Expand conversion, retention, demand, underwriting, and aggregation modeling to support pricing strategy and portfolio decisions.
  • Implement and scale models in an Airflow-based Python pipeline with robust testing, validation, reproducibility, and maintainability.
  • Develop reusable analytical tooling and workflows for the actuarial team.
  • Partner with Insurance Product, Underwriting, and Engineering to deploy models and communicate business recommendations.

Requirements

  • Bachelor’s degree in statistics, mathematics, data science, or another quantitative field.
  • 5+ years of experience in data science, analytics, or actuarial modeling in insurance, preferably personal lines or property.
  • Working knowledge of P&C insurance and loss cost modeling, including demand, underwriting, or claims modeling.
  • Strong statistical modeling experience with GLMs, regularization, tree-based ensembles, and model validation techniques.
  • Advanced proficiency in Python, including pandas, scikit-learn, and statsmodels, as well as SQL.
  • Strong communication skills and the ability to build trust with stakeholders.

Nice to have

  • ACAS or FCAS actuarial credentials.
  • Master’s degree in a quantitative discipline.
  • Experience with AWS, modern data platforms, and workflow orchestration tools such as Airflow.
  • Experience with catastrophe modeling, geospatial analytics, or climate risk data.

Culture & Benefits

  • Medical plans, employer-covered dental and vision insurance, 401(k), disability coverage, life insurance, FSAs, and an employee assistance program.
  • Relocation assistance for qualified candidates moving to a hub location.
  • Equity compensation eligibility, training, and internal career growth opportunities.
  • Flexible time off and 12 weeks of parental leave for primary and secondary caregivers.
  • Snacks, drinks, and catered lunches for onsite employees.

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