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 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 (Bengaluru)
🏢 Bandhan Technologies
📍 Bengaluru