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About the role
We are seeking a highly skilled Data Scientist with robust 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 -Experience in Insurance Domain would be a big plus. -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 settings using APIs or pipelines -Exposure of model deployment (MLOps) -Hands on Experience on Agentic AI workflows would be plus. Technical Skill sStrong proficiency in :-Python / R-SQ LExpertise in :-Scikit-lear n-TensorFlow / PyTorc h-Model development lifecycle (end-to-end )-Feature engineering and hyperparameter tunin g-Model evaluation metric s-NL P-Deep learning model s-Generative AI (LLMs, prompt engineering) (Nice to Have )-MLOps tools (MLflow, Kubeflow, Azure ML, etc. )-Agentic Workflow (Nice to Have )Experience with :Knowledge of data visualization tools :-Power BI / Tableau / Matplotlib / Seabor n .
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