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:We are looking for a skilled and motivated Data Scientist to join our team as an individual contributor. The ideal candidate should have at least two years of experience in data science or ML engineering, with hands-on expertise in Databricks, PySpark, and SQL. You’ll be responsible for owning and delivering scalable machine learning solutions end-to-end—from exploration to production—working independently and collaborating closely with business and engineering teams.

Key Responsibilities:

• Own and deliver the complete lifecycle of machine learning projects, from data exploration and feature engineering to model deployment and monitoring.
• Develop, optimize, and maintain ML and DL models using scalable tools and frameworks.
• Build and maintain robust MLOps pipelines for model versioning, testing, deployment, and retraining.
• Work extensively on Databricks, leveraging PySpark, MLflow, and SQL to build production-grade ML pipelines.
• Automate and monitor workflows for data preparation, model training, and model performance tracking.
• Integrate ML solutions with business systems and APIs for real-time or batch inference.
• Collaborate with data engineers, product managers, and domain experts to translate business problems into ML solutions.

Qualifications & Skills:

• Bachelor’s or master’s degree in Computer Science, Data Science, or a related field from top-tier institutions.
• 2+ years of experience as an ML Engineer, Data Scientist, or in a similar technical role.
• Demonstrated experience deploying at least one end-to-end ML pipeline into production.
• Strong command of Databricks, PySpark, and SQL for large-scale data processing.
• Proficiency with Python and familiarity with MLOps tools like MLflow, Airflow, or Kubeflow.
• Hands-on experience with cloud platforms (Azure preferred; AWS or GCP acceptable).
• Solid understanding of machine learning and deep learning techniques, as well as EDA and data wrangling.
• Familiarity with CI/CD, Docker, Kubernetes, and version control (Git).
• Self-driven, highly organized, and capable of working independently with minimal supervision.

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’