Data Scientist_GEN AI_Python_Insurance/BFSI

Crescendo Global Leadership Hiring India; Gurugram District; Hybrid; INR 2,800,000 - 4,200,000; Full time

Job summary

Crescendo Global Leadership Hiring India in Gurugram is seeking a Data Scientist with strong AI/ML expertise to drive advanced analytics, predictive modeling, and AI-led innovation across business functions. You will develop scalable ML solutions using structured and unstructured data to enable data-driven decision-making.

The role focuses on building models for risk, customer segmentation, forecasting, and optimization, with hands-on experience in deploying models to production and

Qualifications

• 4+ years of hands-on experience in data science and AI/ML.
• Strong programming in Python or R with SQL proficiency.
• Experience building scalable ML/AI models across structured and unstructured data.
• Familiarity with MLOps and deploying models to production.
• Knowledge of NLP, deep learning, and Generative AI (LLMs).
• Experience with dashboards/visualization tools like Power BI/Tableau.

Responsibilities

• Design, develop, and deploy ML/AI models for predictive analytics.
• Build models for risk modeling, customer segmentation, forecasting, and optimization.
• Explore large datasets to derive patterns and insights.
• Perform data cleaning, transformation, and feature engineering.
• Integrate models into production using APIs or pipelines and monitor performance.
• Experiment with agentic AI workflows where applicable.

Skills

Python

R

NLP

Deep learning

Generative AI

MLOps

Model development lifecycle

Hyperparameter tuning

Feature engineering

Model evaluation metrics

Agentic Workflow

Tools

Power BI

Tableau

Matplotlib

Seaborn

MLflow

Kubeflow

Azure ML

Job description

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