IndiGo is India’s largest and most preferred passenger airline and amongst the fastest growing airlines in the world.We have a simple philosophy: offer fares that are affordable, flights that are on time, and provide a courteous and hassle-free travel experience across our unparalleled network. We show that low cost does not mean low quality. With our fleet of over 320 aircraft, we operate well over 2000+ daily flights, connecting over 118 destinations (of which 32 international), welcoming 100 million customers on board last year. We have an industry leading on-time performance and one of the highest customer NPS in the Indian spanet. At IndiGo, we will continue to extend our scope, by spreading our wings internationally, developing from a domestic carrier to a global aviation giant.

Job Summary

Lead customer analytics and personalization initiatives using Azure AI services and large-scale customer data platforms.

Key Responsibilities

• Design and deploy machine learning models using Azure Machine Learning for customer segmentation, churn prediction, lifetime value estimation, and recommendation systems.
• Analyze historical customer data to uncover behavioral patterns and actionable insights.
• Build and optimize recommendation engines using collaborative, content-based, and hybrid approaches.
• Develop and evaluate targeted spaneting campaigns using predictive analytics and personalization strategies.
• Operationalize ML workflows using Azure MLOps (CI/CD, model versioning, monitoring, retraining).
• Collaborate with data engineering to build scalable data pipelines using Azure Data Factory and Azure Synapse Analytics.
• Integrate models with real-time systems using Azure Functions, Event Grid, and API Management.
• Present insights and model outcomes to stakeholders through dashboards and storytelling using Power BI.

Required Skills / Must-Have

• Technical Skills: Python, SQL, scikit-learn, XGBoost, TensorFlow, PyTorch
• Azure Services: Azure Machine Learning, Azure Synapse Analytics, Azure Data Factory, Azure Cognitive Services, Azure Functions & Logic Apps, Azure
• Experience: 5+ years in data science with focus on customer analytics and personalization
• Platforms: Customer Data Platforms (Adobe Experience Platform, Salesforce CDP, Segment)
• MLOps Tools: MLflow, Azure ML Pipelines, DVC
• Data Warehousing: Snowflake or equivalent
• Statistical Methods: A/B testing, causal inference, statistical modeling

Nice-to-Have / Preferred Skills

• Industry Experience: Airline, travel, or retail industry
• Architecture: Real-time personalization and event-driven architectures using Azure Event Hubs or Kafka
• Deployment: FastAPI or Flask integrated with Azure API Management

Education & Qualifications

Primary Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field

Secondary / Acceptable Alternatives Education:

Preferred: Bachelor’s in Engineering or equivalent with relevant experience in customer analytics

Secondary: Master’s in Data Science or AI

Certifications/Licenses

• Azure AI Engineer Associate (preferred)
• Azure Data Scientist Associate (preferred)
• MLflow or DVC certification (preferred)

Skills Grouping & Synonyms

• Customer Analytics: Customer segmentation / churn prediction / LTV modeling
• Recommendation Systems: Collaborative filtering / content-based / hybrid
• Azure AI: Azure ML / Synapse / Data Factory / Cognitive Services
• MLOps: CI/CD / model monitoring / retraining / ML pipelines
• Real-time Systems: Azure Functions / Event Grid / API Management

At IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connection with all our customers. Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their, but not limited to, gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, persons with disabilities, nationality, age, marital and maternity status.

IndiGo does not charge fees for Job Interviews, Registration, Verification or Offer Letters. All Official communication will be from verified IndiGo IDs (e.g., xxxgoindigo.in). Please report any fake job offer to eco.goindigo.in

At IndiGo we are committed to fostering an inclusive and equitable workplace. All employment decisions are made solely on the basis of merit and qualifications, without regard to a candidate’s gender, race, color, religion, caste, creed, ethnicity, language, sexual orientation, marital status, maternity status, disability, or social and economic background’