Sr Data Scientist

Bandhan Life

Posted: 4 hours ago
Openings: 10
Applicants: 0

Job Description

Senior DataScientist

About Us

Bandhan Life is your trusted partnerin financial security, making every Indian household financially secure. As apart of the renowned Bandhan Group, we are bolstering our collaborativestrengths of digital innovation and robust distribution to enhance the valuefor all our stakeholders. Welcome to a new era of insurance, where growth,innovation, customer, and employee welfare are paramount.

Role Overview:

This is a high-impact role for a hands on Applied AIleader who thrives at the intersection of advanced data science, GenAI, andbusiness strategy, and is passionate about using AI to make life insurance moreaccessible, personalized, and efficient.

To design and build next-generation AI systems across thelife insurance value chain, including AI-powered sales coaching, automatedunderwriting, and intelligent decisioning, solving problems such as customeracquisition, risk assessment, cross-sell, persistency, and claims automationusing advanced analytics, deep learning, and GenAI.

To collaborate closely with Product, Sales, Marketing,Risk, Underwriting, Actuarial, and Technology teams to build scalable AIsolutions that directly impact business growth, efficiency, and customerexperience.

Key Focus Areas:

Drive Analytics& AI-led strategy to solve complex business problems using data, decisionscience, and GenAI.

Identify customerand process friction points and propose innovative, AI-driven solutions.

Architectstructured approaches and roadmaps for Analytics & AI use cases.

Design and developAI systems and models leveraging both structured and unstructured data (text,voice, images, video).

Build end-to-end ML/ GenAI pipelines from data ingestion and modeling to deployment andmonitoring.

Partner withbusiness stakeholders (Product, Marketing, Sales, Risk, Underwriting, CustomerService, Actuarial) to deliver measurable business impact.

Qualifications & Competencies:

A first-principles problem solverwho challenges the status quo, thinks creatively, and has a strong bias foraction.

2-4 years of strong hands-onexperience in Advanced Analytics, Data Science, Predictive Modelling, and DeepLearning.

Solid understanding of statistics,machine learning, and model evaluation techniques.

Strong proficiency in Python,SQL , and ML/DL libraries (PyTorch/TensorFlow, scikit-learn, etc.).

Proven experience with LLMs :prompt engineering, fine-tuning (LoRA/PEFT), RAG, agents, and orchestrationframeworks (LangChain, LlamaIndex, or similar).

Experience with NLP, textmining, speech AI (ASR/STT, TTS), and conversational AI pipelines.

Experience with computer visionand video models , embeddings, and familiarity with transformer-based videoarchitectures (e.g., VideoMAE, TimeSformer, etc.).

Experience building multimodalsystems combining text, voice, vision, and structured data for decisioning.

Experience deploying AI systems oncloud platforms ( AWS/Azure/GCP ); strong exposure to AWS services(Lambda, S3, SNS, SQS, EC2, RDS, KMS, SageMaker). Familiarity with Docker,Kubernetes , CI/CD, and scalable inference pipelines.

Experience in Insurance, BFSI,FinTech, or HealthTech preferred.

Exposure to digital analyticsplatforms (e.g., Google Analytics, BigQuery) is a plus.

Bachelors or Masters degree inEngineering, Technology, Statistics, Data Science, or related fields from areputed institute; MBA is a plus.

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