We are seeking a highly skilled Data Scientist with strong AI/ML expertise to drive advanced analytics, predictive modeling, and AI-led innovation across business functions. The role will focus on developing scalable machine learning solutions, leveraging structured and unstructured data, and delivering actionable insights to enable data-driven decision-making. Key responsibilities: Design, develop, and deploy machine learning and AI models for predictive and prescriptive analytics Build models for Risk modeling, Customer segmentation,Forecasting and optimization Explore large datasets to extract patterns, trends, and insights Perform data cleaning, transformation, and feature engineering Work with structured and unstructured data (text, images, etc.) Develop and implement AI-driven solutions and use cases Integrate models into production environments using APIs or pipelines Exposure of model deployment (MLOps) Hands on Experience on Agentic AI workflows would be plus. Technical Skills Strong proficiency in: Python / R SQL Expertise in : Scikit-learn TensorFlow / PyTorch Model development lifecycle (end-to-end) Feature engineering and hyperparameter tuning Model evaluation metrics NLP Deep learning models Generative AI (LLMs, prompt engineering) MLOps tools (MLflow, Kubeflow, Azure ML, etc.) Agentic Workflow (Nice to Have) Experience with: Knowledge of data visualization tools: Power BI / Tableau / Matplotlib / Seaborn