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.