India Careers

ZS Data Science Challenge

The ZS Data Science Challenge is a pan-India contest that aims to discover the most talented minds in data science. The challenge presents a unique opportunity for participants to solve a real data science problem statement and to get a sneak peek into the niche work of ZS’s advanced data science team. The team is focused on creating impact for clients across industries through advanced analytics, including machine learning and AI, and emerging data sources, including text, voice and patient-level record datasets.

This year’s challenge has two phases:

  • Online Challenge (July 20-23, 2018)
  • Offline Data-A-Thon (Aug. 3-4, 2018)

During the challenge, participants will build a model using the provided sample datasets. The offered problem statement has been designed to:

  • Evaluate how participants pre-process and generate relevant features and insights for modeling from data
  • Test participant knowledge of machine learning and statistics
  • Assess participant proficiency in identifying the right technique to finding a solution and in translating the findings from the business context’s point of view

During the online challenge, participants will submit their solution to the problem online. After ZS reviews the online entries, the top candidates will be invited to ZS’s Capability and Expertise Center to participate in the next phase of the challenge.

In the Offline Data-A-Thon, candidates will brainstorm solutions to another challenging data science problem. They will also get to learn about the career opportunities at ZS, experience the ZS culture and interact with ZS’s advanced data science leadership team.

Candidates who are shortlisted after both phases of the challenge will have the opportunity to win prizes and awards. They’ll also receive pre-placement interview letters for ZS’s data science team which provides an opportunity to work on cutting-edge solutions using new age data sources to shape innovations across multiple areas for our clients. Additionally, all finalists will have an expedited interview process to work on ZS’s advanced data science team.

To learn more about the third annual challenge and to register, visit HackerEarth.

If you have questions about the ZS Data Science Challenge, email them to