Data Scientist

Experience: 4 - 8 yrs

Machine LearningNeural NetworksData ModellingPython / Pandas / NumpyPyTorch / Keras

Our Purpose and Challenges

With over 47% market-share, MakeMyTrip is India’s first and biggest travel company. In fact, one in every four passengers at an airport is our customer. Driven by the desire to provide an exceptional travel experience for our customers, we have continuously stayed ahead of the curve by developing technology and products to meet the ever-changing demands of the rapidly evolving travel ecosystem.

We are currently solving multiple challenging problems, including -
  • How to bring the next 100 million users to our platform?
  • How to leverage customer insights to create a truly personalised experience for users?
  • How to create a delightful experience for our users, to make travel synonymous to MMT?

If this excites you, join us for a rewarding, fulfilling and enriching career.

“Not only do we make the best trips for our customers, we also promise the trip of a lifetime to our employees! Everyday, our teams solve challenging problems for millions of users by leveraging the latest technology, while having loads of fun. Every day is a new trip for them, and that is precisely why we call them Trippers!”

- Sanjay Mohan, Group CTO, MakeMyTrip

About the opportunity

What you’ll be doing:
  • Build mathematical models to be deployed in the travel e-commerce funnel (selling hotels, flights, holidays etc.) for improving customer experience and operational efficiency.
  • Work with product management to translate business problems into machine learning problems
  • Explore data and communicate insights clearly to various stakeholders
  • Work with Engineering teams to improve data quality
  • Analyze experimental results, iterate and refine models to create significant business impact
What you’ll bring to the team:
  • Curiosity to analyze and uncover insights from data that are relevant to the business
  • Mathematical background in probability, statistics and linear algebra at a level required to explain the conceptual foundations of common supervised and unsupervised machine learning algorithms
  • Fluent with the Python ML stack: Pandas, Numpy, Matplotlib
  • Fluent in SQL
  • Computer science background (at the level of data structures & algorithms) is desirable
  • 2+ years of production Machine Learning experience in the industry

Interview Process & Prep Notes

  1. Coding Assessment

    Basic Coding, Algorithm, Machine Learning, SQL
    ML foundations, probability & statistics questions, Python programming fluency Data structures and Algorithms have stood the test of time and have helped us solve our daily engineering problems. Binary Tree, Linked List, Algorithm Design, Dynamic Programming, Graphs are our best friends. Along with that, It is important for any data enthusiast to be able to work with unstructured data, whether it is from social media, video feeds or audio.
  2. Model building

    Data Modelling, Data Ingestion, Data Pipelining, Build Data Set
    A big part of data science modelling involves evaluating a model, for example, making sure that it is robust and therefore reliable. Also, data science modelling is closely linked to creating an information rich feature set. In-depth testing using sensitivity analysis, specialised sampling, and various aspects of model performance (as well as tweaking the model to optimize for a particular performance metric) are parts of data science that we expect you to know. Demonstrate your ability to explain the results and plan next steps
  3. Machine Learning Assesment

    Machine Learning Models, Linear Regression, Decision Tree,Neural Networks,Bayesian Networks
    No one can deny the fact that as practicing Data Scientists, you will have to know basics of some common machine learning algorithms, which would help you tackle new age problems we come across.
  4. Past Projects

    Projects Overview, Problem solving, Statistics & Puzzle Questions
    Tell us how you designed and deployed various data science techniques to get to the accuracy you aimed for. We want to know more about your contribution and specific technologies you used.
  5. Team Fitment

    Behavioural Assessment, Culture Fit, Project Knowledge, Role Operation
    Be yourself. It works out better for everyone if we're genuine and can see if we're a cultural fit for each other. Everyone here is focused on our mission, so you should figure out what it is.

Learning & Growth

All Trippers get instant access to learning academies, e-learning portals like Udemy, Codeacademy etc, education loans, sponsorship for conferences, skill development programs, and much more. Not to mention the incredible learning opportunity you will undoubtedly receive from working with leaders and colleagues that are at the top of their game!

Learning Academies

Continuous Education Scheme


Peer Learning


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    Customer focus

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    Continuous Improvement

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    Commitment to results

If this excites you, Apply for this opportunity!

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Sanjay Mohan

Group CTO, MakeMyTrip

With extensive engineering leadership experience in established firms as well as startup/incubation setup, Sanjay brings over 20 years of solid, technical/managerial experience, across US and India geography.

Madhu Gopinathan

SVP Data Science

Madhu has extensive experience in developing large scale systems using machine learning and natural language processing in both USA and India. He has been granted multiple US patents, holds a PhD in the mathematical modelling of systems from the IISc, Bangalore and an MS in computer science from the University of Florida, USA.

Narasimha Medeme

Director Data Science

Narasimha has 15+ years of expertise in delivering predictive machine learning solutions and advanced prescriptive models for multitude of domains. He is an IIT Madras alumnus, with MS from University of Missouri USA, with expertise in ML, data models, deep learning and NLP. At MakeMyTrip he is responsible for developing large scale ML/AI systems for hotel ranking, pricing, personalization, and multi-domain Ad personalization initiatives.

People in the team come from companies like


Top Benefits

  1. Open leave policy

  2. Flexi working

  3. Stock options

  4. Team Offsites

  5. Own Your Car Program

  6. Life Insurance

  7. Maternity / Paternity Benefit

  8. Comprehensive Insurance Benefits for Self and Family

  9. Holidays at Attractive Prices

  10. Volunteer at MMT Foundation

Download and get set to jet to a new location

Call us selfish - but we really appreciate people who book travel on MakeMyTrip. This will give us a lot to talk about during our meeting. Book travel here and will also get to learn a lot from the comments and ratings, what is working and where can we improve and be better. Feel free to ask us questions! We will be happy to answer anything.

If this excites you, Apply for this opportunity!

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