Principal Data Scientist

March 18

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CLARA Analytics

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CLARA Analytics is a leading provider of AI-driven technology solutions for casualty claims management. Its platform, CLARAty. ai, offers tools such as Document Intelligence, Triage, Treatment, and Fraud detection, designed to optimize the claims process for insurance carriers, MGAs/MGUs, reinsurers, and self-insured organizations. By leveraging artificial intelligence and machine learning, CLARA Analytics helps reduce loss costs, improve operational efficiency, and detect fraudulent claims in real-time. Its solutions are used widely within the workers' compensation, auto liability, and general liability sectors, providing actionable insights and industry benchmarking to enhance claims management outcomes.

workers'​ compensation • occupational injuries • insurtech • data science • predictive analytics

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Explore and experiment with new algorithms and methodologies to push the boundaries of current AI and NLP capabilities • Author technical briefs that contribute to our thought leadership and drive strategic decision-making • Develop and refine NLP models to extract, classify, and summarize information from unstructured texts • Evaluate and benchmark cutting-edge deep learning architectures to ensure we’re always ahead of industry trends • Lead end-to-end machine learning projects, overseeing the full lifecycle • Implement best practices in ML engineering, ensuring that models are scalable, reproducible, and maintainable in production environments • Work closely with actuaries, product managers, and data engineers to align AI strategies with business objectives • Translate complex quantitative concepts into clear, actionable insights for both technical and non-technical stakeholders • Ensure that all AI solutions adhere to ethical guidelines as well as data privacy and industry regulations

🎯 Requirements

• MS or higher in a quantitative discipline (e.g., Artificial Intelligence, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering) • Minimum 5 years in developing machine learning models with a strong emphasis on transitioning research into production • At least 3 years of hands-on experience in natural language processing (NLP) • Proficient in Python and experienced with libraries/frameworks including PySpark, TensorFlow, PyTorch, and MLFlow • Adept with NLP frameworks and packages, including SpaCy and NLTK • Solid understanding of various deep learning architectures, large language models, and emerging NLP technologies (e.g., LangChain, AWS Foundation Models)

🏖️ Benefits

• employer-provided health insurance and ancillary benefits (life, disability, etc.) • flexible PTO • fully WFH • 401k with match