We are seeking a highly skilled Data Scientist with solid 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
Solid 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
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