Назад
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3 дня назад

Applied Scientist II (AI)

103 800 - 144 100$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Applied Scientist II (AI): Building and improving machine learning and GenAI models for underwriting decisions with an accent on model design, evaluation, deployment, and monitoring. Focus on improving underwriting accuracy and automation, and designing robust pipelines.

Location: Any location, Canada

Salary: In Alberta, British Columbia & Ontario the base salary for this position ranges from $115,300.00/year up to $144,100.00/year. For all other locations, the base salary for this position ranges from $103,800.00/year up to $129,690.00/year.

Company

hirify.global is the world's first Active Insurance provider designed to help prevent digital risk before it strikes.

What you will do

  • Build and advance ML and GenAI models for underwriting decisions and risk selection.
  • Drive and execute ML projects end-to-end.
  • Design and implement ML pipelines for data preprocessing, feature engineering, model training, and model evaluation.
  • Apply state-of-the-art ML and GenAI workflows to improve underwriting accuracy, automation, and decision support.
  • Collaborate with underwriters, product, data, and engineering partners.
  • Contribute to a culture of scientific and data excellence.

Requirements

  • Ph.D. or MS in a quantitative field or equivalent practical experience.
  • 5+ years of full-time experience developing and deploying ML- and data-based solutions in production.
  • Hands-on experience with supervised and unsupervised learning methods.
  • Expertise in statistical analysis methods.
  • Strong proficiency in Python, core ML libraries, and SQL.
  • Experience with experiment design and evaluation.

Nice to have

  • Experience with modern GenAI techniques relevant to underwriting.
  • Familiarity with model governance in regulated environments.
  • Experience with ML orchestration and MLOps tools.
  • Exposure to causal inference or uplift modeling.
  • Experience working with cyber or P&C insurance data.

Culture & Benefits

  • 100% medical, dental, and vision coverage.
  • Flexible PTO.
  • Annual home office stipend and WeWork access.
  • Mental & physical health wellness programs.
  • Competitive compensation and opportunity for advancement.
  • Remote-first, inclusive culture.

Hiring process

  • AI-assisted tools are used to organize and review applications.
  • The recruiting team makes all final hiring decisions and interview selections.
  • Status updates are provided within 45 days of the final interview.

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