AI Lead - Machine Learning/Data Science - BFSI/Life Insurance Domain

AI Lead - ML / Data Science / AI (BFSI - Life Insurance) Experience: 8 - 12 Yrs Location: Whitefield, Bangalore Role Overview: We are looking for a highly skilled AI Lead with strong hands-on experience in Machine Learning, Data Science, and AI solutions within the BFSI domain, preferably Life Insurance. The candidate should have evolved into a technical leadership role and be capable of leading multiple projects or large-scale AI programs. The role involves driving AI-led transformation across underwriting, claims, customer experience, fraud detection, and risk analytics. Key Responsibilities: - Lead the design, development, and deployment of AI/ML solutions for Life Insurance business use cases such as underwriting, claims automation, persistency, and fraud detection. - Manage and deliver multiple AI/ML projects or 12 large-scale programs end-to-end. - Provide technical leadership and mentorship to data scientists, ML engineers, and analysts. - Collaborate with business stakeholders to translate insurance-specific requirements into data-driven solutions. - Drive solution architecture, model development, feature engineering, and optimization. - Ensure best practices in model validation, deployment, governance, and monitoring. - Work with cross-functional teams including actuarial, underwriting, claims, and distribution teams. - Stay updated with advancements in AI, Generative AI, and Agentic AI. Required Skills & Expertise: - Strong hands-on experience in Machine Learning algorithms and Data Science techniques. - Proficiency in Python, PySpark, and ML libraries such as Scikit-learn, TensorFlow, or PyTorch. - Experience in building and deploying end-to-end ML pipelines. - Strong understanding of data preprocessing, feature engineering, and model evaluation. - Experience working with large datasets and distributed systems. Domain Expertise (BFSI Life Insurance): - Understanding of Life Insurance processes such as underwriting, claims, policy servicing, and risk assessment. - Experience in building AI models for fraud detection, customer segmentation, churn prediction, or pricing analytics. - Familiarity with regulatory and compliance requirements in the insurance sector. Preferred Qualifications: - Exposure to Generative AI (Gen AI) solutions such as LLMs, prompt engineering, or fine-tuning. - Experience with Agentic AI systems or autonomous AI workflows. - Experience with cloud platforms (AWS, Azure, or GCP) is a plus. - Strong stakeholder management and communication skills. AI Lead - ML / Data Science / AI (BFSI - Life Insurance) Experience: 8 - 12 Yrs Location: Whitefield, Bangalore Role Overview: We are looking for a highly skilled AI Lead with strong hands-on experience in Machine Learning, Data Science, and AI solutions within the BFSI domain, preferably Life Insurance. The candidate should have evolved into a technical leadership role and be capable of leading multiple projects or large-scale AI programs. The role involves driving AI-led transformation across underwriting, claims, customer experience, fraud detection, and risk analytics. Key Responsibilities: - Lead the design, development, and deployment of AI/ML solutions for Life Insurance business use cases such as underwriting, claims automation, persistency, and fraud detection. - Manage and deliver multiple AI/ML projects or 12 large-scale programs end-to-end. - Provide technical leadership and mentorship to data scientists, ML engineers, and analysts. - Collaborate with business stakeholders to translate insurance-specific requirements into data-driven solutions. - Drive solution architecture, model development, feature engineering, and optimization. - Ensure best practices in model validation, deployment, governance, and monitoring. - Work with cross-functional teams including actuarial, underwriting, claims, and distribution teams. - Stay updated with advancements in AI, Generative AI, and Agentic AI. Required Skills & Expertise: - Strong hands-on experience in Machine Learning algorithms and Data Science techniques. - Proficiency in Python, PySpark, and ML libraries such as Scikit-learn, TensorFlow, or PyTorch. - Experience in building and deploying end-to-end ML pipelines. - Strong understanding of data preprocessing, feature engineering, and model evaluation. - Experience working with large datasets and distributed systems. Domain Expertise (BFSI Life Insurance): - Understanding of Life Insurance processes such as underwriting, claims, policy servicing, and risk assessment. - Experience in building AI models for fraud detection, customer segmentation, churn prediction, or pricing analytics. - Familiarity with regulatory and compliance requirements in the insurance sector. Preferred Qualifications: - Exposure to Generative AI (Gen AI) solutions such as LLMs, prompt engineering, or fine-tuning. - Experience with Agentic AI systems or autonomous AI workflows. - Experience with cloud pla