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Federato

AI-powered underwriting platform for insurance

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$160k - $200k /yrRemote

About the Job

Requirements

  • Demonstrated interest in engineering for impact.
  • At least 2 years of hands-on industry experience with machine-learning and optimization models.
  • At least 2 years of experience with model deployment, monitoring, and version control.
  • Graduate work in an optimization-related field, such as reinforcement learning, convex optimization, or Bayesian optimization, with either a PhD or an advanced master's degree.
  • Proficiency with Python, Flask or Django, Pandas, and NumPy.
  • Ability to learn new technologies quickly and learn on the spot.

Responsibilities

  • Work through business problems and build models from scratch as the first data scientist on the team.
  • Develop models that are pivotal to the business.

About the Company

Federato

AI-powered underwriting platform for insurance

Federato provides an AI-powered underwriting platform called RiskOps for insurers, focusing on the surety space. The platform helps underwriters process risk data more quickly and accurately by applying AI to automate and assist decision-making, streamline workflows, and improve portfolio management. Clients access RiskOps via a subscription model, which reduces startup barriers and lowers long-term costs while boosting efficiency and performance. Federato differentiates itself by applying AI specifically to underwriting in insurance, delivering better data, analytics, and workflow efficiency to enable underwriters to focus on high-value tasks like strategy and creativity. The overall goal is to help insurance companies grow by delivering faster, smarter underwriting and a stronger competitive position.

Company size
201-500
Company stage
Series D
Total funding
$180M
Headquarters
San Francisco, CA
Founded
2020

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