About the role

A Data Scientist combining BFSI domain expertise with strong ML and analytics — fraud, risk, underwriting, and decisioning models — excited about AI agents and agentic workflows for insurer decisions.

Responsibilities

• Design, validate, and deploy predictive and prescriptive models for BFSI

• Build scalable data science solutions on structured and unstructured data

• Model monitoring, performance tracking, explainability, governance

• Design and enhance fraud detection and prevention models

• Build risk scoring, propensity, anomaly detection, behavioral models

• Build agentic workflows combining LLMs, predictive models, rules engines
  
  

Skills

• 3–5 yrs in Data Science, ML, or Advanced Analytics

• Strong BFSI / Insurance / FinTech experience

• Deploying ML models in production

• Python + data science libraries (Pandas, Scikit-learn, XGBoost, TensorFlow, PyTorch)

• SQL, large-scale data platforms, cloud, MLOps
  
  

Preferred

• GenAI, LLMs, RAG, AI agents, agentic workflows

• Decision engines, rules engines, enterprise workflow platforms

• Model governance and BFSI regulatory requirements