Federato
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.
Data Scientist
Job not on LinkedIn
June 24
🏄 California – Remote
💵 $160k - $200k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📊 Data Scientist
🦅 H1B Visa Sponsor
Federato
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.
📋 Description
• 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!
🎯 Requirements
• 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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