AI Lead

We are looking for a highly skilled AI Lead to drive AI-led transformation initiatives across the Life Insurance business. This is a techno-functional leadership role requiring deep expertise in Machine Learning, Data Science, and AI solution delivery, combined with a strong understanding of insurance processes. The ideal candidate will have a proven track record of building and scaling AI products, leading cross-functional teams, and delivering measurable business impact across underwriting, claims, fraud detection, risk analytics, customer engagement, and operational efficiency.

Responsibilities:

• Lead the design, development, and deployment of AI/ML solutions for Life Insurance use cases, including underwriting, claims automation, fraud detection, persistency, and customer analytics.
• Own end-to-end delivery of multiple AI initiatives or large-scale enterprise AI programs.
• Provide technical leadership and mentorship to Data Scientists, ML Engineers, and Analytics teams.
• Partner with business stakeholders to identify high-impact AI opportunities and translate them into scalable solutions.
• Drive solution architecture, model development, feature engineering, experimentation, and optimization.
• Establish best practices for model governance, validation, deployment, monitoring, and lifecycle management.
• Collaborate closely with underwriting, claims, actuarial, risk, operations, and distribution teams.
• Evaluate and implement emerging technologies in generative AI, Agentic AI, and Intelligent Automation.
• Drive AI adoption and create measurable business outcomes through data-driven decision-making.

Requirements:

• 8-12 years of experience in Data Science, AI, or Machine Learning.
• At least 2-4 years of experience leading AI teams or enterprise AI initiatives.
• Proven track record of delivering AI solutions in BFSI, preferably Life Insurance.
• Strong blend of technical depth, business understanding, and leadership capability.
• Ability to operate in a fast-paced environment and drive AI adoption across business functions.

AI / Machine Learning:

• Strong hands-on expertise in Machine Learning, Statistical Modelling, and Data Science.
• Experience building and deploying production-grade ML solutions at scale.
• Deep understanding of: Supervised and Unsupervised Learning, Classification, Regression, Clustering, Time Series Forecasting, Recommendation Systems, NLP and Predictive Analytics.
• Strong knowledge of feature engineering, model evaluation, explainability, and performance optimization.

Technical Skills:

• Expert proficiency in Python and PySpark.
• Hands-on experience with ML frameworks such as Scikit-learn, TensorFlow, and PyTorch.
• Experience building end-to-end ML pipelines and MLOps workflows.
• Familiarity with large-scale data platforms and distributed computing environments.
• Experience with SQL and modern data engineering ecosystems.

BFSI / Life Insurance Domain:

• Strong understanding of Life Insurance business processes: Underwriting, Claims Management, Policy Servicing, Risk Assessment, Customer Retention and Persistency.
• Experience building solutions for: Fraud Detection, Customer Segmentation, Churn Prediction, Pricing and Risk Analytics.
• Understanding of regulatory, governance, and compliance requirements within Insurance and BFSI.

Preferred Background:

• Hands-on experience with Generative AI, LLMs, Prompt Engineering, RAG, Fine-Tuning, and AI Copilots.
• Exposure to agentic AI frameworks, autonomous workflows, and multi-agent systems.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong stakeholder management, communication, and leadership skills.
• Experience leading teams and influencing business and technology strategy.

Skills

ML, data science, machine learning, pyspark, python