Data Science Lead – ML / Data Science / AI (BFSI)
Experience:8 – 12 Yrs
Location: Whitefield, Bangalore

Role Overview:
We are looking for a highly skilled Data Science Lead with solid 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 drivingAI-led transformation acrossunderwriting, claims, customerexperience, 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 delivermultiple AI/ML projectsor 1–2 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, featureengineering, 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 AgenticAI

Required Skills & Expertise:
Strong hands-on experience in Machine Learningalgorithms 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 workingwith large datasetsand 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

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