
51 - 200 employees
Founded 2017
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Artificial Intelligence • SaaS • B2B
CLARA Analytics is an AI-driven claims intelligence company that provides a SaaS platform (CLARAty. ai) for casualty claims management, document intelligence, and claims guidance. Its product suite—DocIntel Pro, Triage, Treatment, Litigation, Fraud, MSP and others—helps insurers, MGAs/MGUs, reinsurers and self-insured organizations accelerate document review, detect fraud, triage costly claims early, optimize medical treatment selection, and streamline future medical cost projections. CLARA leverages machine learning trained on millions of claims and integrates via APIs for quick deployment (typically 8–12 weeks), delivering operational ROI through reduced loss costs, lower claim expenses and improved claims outcomes.
🕒 April 25
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51 - 200 employees
Founded 2017
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Artificial Intelligence • SaaS • B2B
CLARA Analytics is an AI-driven claims intelligence company that provides a SaaS platform (CLARAty. ai) for casualty claims management, document intelligence, and claims guidance. Its product suite—DocIntel Pro, Triage, Treatment, Litigation, Fraud, MSP and others—helps insurers, MGAs/MGUs, reinsurers and self-insured organizations accelerate document review, detect fraud, triage costly claims early, optimize medical treatment selection, and streamline future medical cost projections. CLARA leverages machine learning trained on millions of claims and integrates via APIs for quick deployment (typically 8–12 weeks), delivering operational ROI through reduced loss costs, lower claim expenses and improved claims outcomes.
• Design and own the mathematical and technical framework for a scalable clustering engine that groups claims based on clinical, legal, and financial attributes. • Partner with Machine Learning Engineers to translate prototypes into optimized production systems, and work with MLOps to implement automated retraining, monitoring, and model lifecycle management. • Collaborate with Data and Application Engineering teams to define APIs and data contracts that power internal tools such as attorney and physician benchmarking, as well as fraud detection systems. • Develop advanced representations of claims using both structured data (e.g., ICD codes, geographic data, indemnity and legal costs) and unstructured data (e.g., adjuster notes, medical records, legal documents). • Act as a subject matter expert within the broader engineering organization, ensuring alignment between data science initiatives, system architecture, and production reliability standards.
• At least 7 years in Data Science with a strong track record of deploying models into production environments. • Deep experience with Bodily Injury claims, including 4+ years of hands-on work in Workers’ Compensation or General Liability. • Familiarity with claim lifecycles, medical billing (ICD/CPT), litigation processes, and reserve dynamics is crucial. • Strong proficiency in Python and solid software engineering fundamentals, including system design, CI/CD pipelines, and API development/versioning. • Expertise in unsupervised learning techniques (clustering, dimensionality reduction) and NLP methods (transformers, embeddings, LLM-based approaches) for analyzing complex, unstructured data. • Proven ability to lead and execute projects across Data Science, Engineering, DevOps, and Product teams.
• generously subsidized health insurance • employer-paid ancillary benefits • flex/unlimited PTO • fully remote • 401k with company match
Apply Now🕒 April 24
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