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 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 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
- Robust 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 fraud detection, customer segmentation, churn prediction, or pricing analytics
- Familiarity with regulatory and compliance requirements in the insurancesector

Preferred Qualifications:
- Exposure to Generative AI (Gen AI) solutions such as LLMs,prompt engineering, or fine-tuning
- Experience with AgenticAI systems or autonomous AI workflows
- Experience with cloud platforms(AWS, Azure, or GCP) is a plus
- Strong stakeholder management and communication skills

📌 Data Science Lead (Bangalore Metropolitan Area)
🏢 Bandhan Technologies
📍 Bangalore Metropolitan Area