Develop production-grade data science and analytics solutions across diverse business problems. Apply statistics, hypothesis testing, feature engineering, machine learning, NLP, OCR, and generative AI techniques. Use Azure ML and MLOps practices to deploy models, communicate insights through storytelling, engage stakeholders, and mentor other data scientists. The role focuses on analytical problem-solving within the banking, financial services, and insurance domain.