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About McKinsey Hiring Hack

With its deep expertise, objective insights and world class analytics capabilities, McKinsey Knowledge Center has created significant performance improvements for many clients across the globe. Here is your chance to showcase that you too can do the same for them.

Yes, you read it right! This is your chance to be part of a company whose research is looked up to across the globe. This is the company, which highlighted the potential shortfall of the data scientists to this world.

Of course this is not going to be easy, but it would be convenient! Participate in McKinsey Hiring Hack to claim your chance of glory – the best people will be shortlisted for a face to face round in McKinsey’s Chennai office. To top it up, the winner would take prize worth INR 1,00,000 in form of joining bonus.

What are you waiting for? This might as well be the battle of your life. Register here and come back prepared as the clock strikes 12 midnight of 22nd – 23rd April 2016.


About McKinsey & Co.


McKinsey & Company, Inc. is a leading international management consulting firm with 105 office locations in 56 countries. It is one of the most respected and renowned organizations in the world and has been consistently ranked as the leading employer of choice at MBA schools across the world.

It advises top management of the world’s leading companies on issues of strategy, organization and operations. Our mission is twofold: to help our clients make positive lasting and substantial improvements in their performance and to build a great Firm that is able to attract, develop, excite and retain exceptional people.

The India Knowledge Center with offices in Gurgaon and Chennai is the biggest hub of McKinsey’s Global Knowledge Management capability. It provides support to McKinsey consulting teams across the globe. The Center has grown into McKinsey’s largest research and analytics unit, comprising of more than 1700 Knowledge Management professionals across 90 cities


About The Team

Data analytics has a diverse pool of about 50+ analysts with expertise in predictive analytics, optimization, data mining, visualization and applied statistical and operations research techniques to solve business problems. They have extensive experience in various industry sectors such as manufacturing, basic materials, telecom, retail, banking, pharma and automobiles.

Job Description

Designation - Analyst – Predictive Analytics

Location - Chennai

About the Role:

Analysts work with Client Service Teams (CSTs) globally, and engage in complex modeling and analytically focused strategies across a wide platform of projects, from network optimization to large-scale global transformation to predictive maintenance etc. Analysts work with data-driven teams by modeling and using data in creative ways, and apply problem solving to a growing number of client situations. 

Career growth from this position will be as a Senior Analyst focusing on specific analytical domain.

Detailed Desription :

  • Apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights and solve complex business problems

  • Deep technical experience in the key areas of : distributed computing, machine learning, statistics and programming

  • Core programming experience with R, Python (core) and Spark/Scala/RapidMiner (non-core)

  • Proficiency in statistical data analysis and data mining packages SAS, SPSS, MATLAB, STATA, etc.

  • Machine learning and generic algorithms worked can include Cost Function, Neural Networks, Random Forest, Support Vector machines, Gradient Boosting , Naïve Bayes etc.

  • Very comfortable with statistical techniques including correlation, regression, clustering, time-series etc.

  • Proven comfort and an intellectual curiosity for working with very large sets of data, pulling in relevant team members to address identified – and sometimes undiscovered – client needs.

  • Problem solve with the client service/data science team to explore findings and insights from analysis. Create value for clients and client service teams by understanding their needs and translating them into optimal desired analytical services


Further, the Analyst is a willing self-starter who possesses:

  • Discernible communication skills, especially around breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues, at all levels

  • Willingness to support knowledge development for the Firm’s analytic group and help develop a roadmap for a greater understanding of analytics and its impact in the consulting population



Minimum Qualifications

  • BTech/MTech (equivalent BS/MS) in Computer Science, Engineering, Applied Math, Quantitative social sciences

  • 1-3 years of deep technical experience in machine learning, statistics and programming

  • High-value personal qualities including critical thinking and creative problem solving skills; an ability to influence and work in teams; resourcefulness; tenacity; independent thought leader; self-confident, etc.

  • Strong command of English language (both verbal and written)


The Analyst would be located in Chennai, India and may be required to travel to serve clients onsite to understand their requirements, and designing / developing solutions.


  1. The contest starts Saturday, 23rd April 2016, 00:00:00 . The data set and the problem statement will be released at the same time.

  2. No submissions would be accepted after the contest is closed.

  3. Since this is a hiring hack, you are expected to solve the problem on your own. Any discussions / hints on approach will result in your dis-qualification.


  2. The results as judged by Analytics Vidhya & McKinsey would be final.

  3. Participant must update their profile with authentic details and upload their latest CV. Otherwise, a participant will not be considered for the position.

  4. A candidate will be eligible for the joining bonus only if he/she has performed well in the hack (based on leader board position), clears all the interviews and then joins the firm.


Registration Fee

Certified Master Program