Lead – Data Scientist

Overview

About the job:

Key responsibilities:

1 - Lead the design and deployment of machine learning models for customer segmentation, churn prediction, lifetime value estimation, and recommendation systems.
2 - Analyze large-scale customer data to identify behavioral trends, preferences, and actionable insights.
3 - Build and optimize recommendation engines using collaborative, content-based, and hybrid approaches.
4 - Develop and evaluate targeted marketing campaigns powered by predictive analytics and personalization strategies.
5 - Operationalize machine learning workflows using Azure MLOps, including CI/CD, model versioning, monitoring, and retraining.
6 - Collaborate with data engineering teams to develop scalable data pipelines with Azure Data Factory and Synapse Analytics.
7 - Integrate machine learning models into real-time systems using Azure Functions, Event Grid, and API Management.
8 - Present analytical insights and model performance outcomes to stakeholders through Power BI dashboards and storytelling techniques.

Who can apply:

Only those candidates can apply who:

1. have minimum 5 years of experience

Salary:

Competitive salary

Experience:

5 year(s)

Deadline:

2025-11-19 23:59:59

Skills required:

Python, SQL, Machine Learning, Microsoft Azure, Power BI, TensorFlow, PyTorch, Machine Learning Operations (MLOps) and XGBoost

Other Requirements:

1 - Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related discipline.

2 - Minimum of 5 years’ experience in data science, focusing on customer analytics and personalization.

3 - Proficiency in Python, SQL, scikit-learn, XGBoost, TensorFlow, and PyTorch.

4 - Hands-on experience with Azure ML, Synapse Analytics, Data Factory, and Cognitive Services.

5 - Knowledge of MLOps tools like MLflow, Azure ML Pipelines, or DVC.

6 - Familiarity with Snowflake or equivalent data warehousing platforms.

7 - Preferred experience in the airline, travel, or retail industry.

8 - Preferred certifications: Azure AI Engineer Associate, Azure Data Scientist Associate, MLflow or DVC certification.

About Company:

IndiGo began operations in India on August 4, 2006, and is headquartered in Gurgaon, Haryana. In 2025, it reported revenue of about $202.5 billion and employed over 2,000 people. The airline operates 410 aircraft and runs more than 2,100 daily flights, connecting over 120 destinations, including 34 international ones, and serving more than 100 million customers. Recent developments include orders for Airbus A350-900 wide-body aircraft, the launch of business class on A321neo planes, and efforts to manage challenges linked to regional tensions and disruptions following an Air India crash.