
Artificial Intelligence • Insurance
Federato is an innovative company that provides an AI-driven platform designed to transform underwriting processes for insurance companies. Their platform, known as RiskOps, helps insurers achieve profitable underwriting growth by automating submission triage, offering real-time decision support, and consolidating multiple systems into a single, efficient workflow. Federato's solutions are tailored for carriers, MGAs (Managing General Agents), and mutual insurance companies, offering them improved visibility, efficiency, and the ability to prioritize high-value accounts. With features like seamless rating interfaces and efficient submission portals, Federato aids insurers in streamlining their operations and enhancing their underwriting capabilities using advanced technology.
11 - 50 employees
🤖 Artificial Intelligence
💰 $15M Series A on 2022-09
June 24
🏄 California – Remote
💵 $160k - $200k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📊 Data Scientist
🦅 H1B Visa Sponsor

Artificial Intelligence • Insurance
Federato is an innovative company that provides an AI-driven platform designed to transform underwriting processes for insurance companies. Their platform, known as RiskOps, helps insurers achieve profitable underwriting growth by automating submission triage, offering real-time decision support, and consolidating multiple systems into a single, efficient workflow. Federato's solutions are tailored for carriers, MGAs (Managing General Agents), and mutual insurance companies, offering them improved visibility, efficiency, and the ability to prioritize high-value accounts. With features like seamless rating interfaces and efficient submission portals, Federato aids insurers in streamlining their operations and enhancing their underwriting capabilities using advanced technology.
11 - 50 employees
🤖 Artificial Intelligence
💰 $15M Series A on 2022-09
• You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our business. • You will have a huge impact on our success and will be part of a fast growing team!
• Demonstrated interest in engineering for impact • 2+ years of hands-on industry experience with machine learning and optimization models • 2+ years of experience with model deployment, monitoring and version control • Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. • Comfortable with Python, Flask/Django, Pandas and Numpy • Demonstrated ability to pick up new technologies quickly and learn on the spot
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