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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