Data Scientist_GEN AI_Python_Insurance/BFSI
Summary
Data scientist (4+ yrs) in Gurugram building predictive and generative-AI models for an insurance/BFSI business — risk modeling, customer segmentation, and forecasting using Python/R, SQL, TensorFlow/PyTorch, and LLM/RAG techniques, deployed via MLOps tooling (MLflow, Kubeflow, Azure ML).
DATA SCIENTIST_GEN AI_RAG_LLM_ML_INSURANCE DOMAIN
4+ YEARS
Gurugram
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