Lead Data Scientist (AI)

• Lead the end-to-end development and deployment of AI/ML models to support underwriting, fraud detection, pricing, and customer experience initiatives.
• Design and implement data science solutions that align with regulatory standards and business objectives.
• Build and scale a high-performing data science team; provide technical mentorship and guidance.
• Collaborate with engineering to ensure smooth integration of AI models into production systems.
• Drive the use of NLP, predictive modeling, and generative AI where applicable to improve operational efficiency and innovation.

• 6+ years of experience in data science, with at least 2 years in a lead or managerial role.
• Proven track record building and deploying machine learning models in real-world environments, preferably within insurance, fintech, or healthtech.
• Strong background in statistics, machine learning, and AI techniques, including deep learning and NLP.
• Proficient in Python, SQL, and cloud-based data platforms (AWS/GCP/Azure).
• Excellent communication skills with the ability to translate complex models into clear business insights.

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