01Overview
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 .
