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Data Science

Use data to advise your client, PowerCo, on how to retain their customers with the team at BCG X

Data Free 9450+ 5 Star Reviews

Talent Network Open

Get Career Ready

Complete work that simulates life on the job. 6-7 hours and self-paced.
Stand out in your application to BCG. Show us you're a motivated candidate.

Why complete our Job Simulation

A risk-free way to experience work on the job with us at BCG. Practice your skills with example tasks and build your confidence to ace your applications.

Are you a curious problem solver with a passion for working with data? Do you have some experience with programming and statistics? Are you interested in how Artificial Intelligence is implemented in the real world? Then this is the program for you!

In this job simulation, you will gain enviable insight into what it’s like to solve meaningful challenges with our diverse and forward-thinking team at BCG X. The program will show you what kind of problems are solved at BCG X and will attempt to simulate the challenges you will be facing – new terminology, ambiguity about the client goal, challenging data analysis. All those aspects form an integral part of our day-to-day work.

BCG X is transforming the businesses of today through data science and analytics initiatives. Our goal is to help companies generate competitive advantage through these insights. This program is designed to give you a feel of what it is like to work at BCG X as we help our clients using data science.

Data science is a large market of opportunity and expertise within BCG and when tackling a business problem there are typically 5 high-level steps that we follow:

  1. Business understanding & problem framing: understanding the context of the customer and the problem they’re trying to solve with data
  2. Exploratory data analysis & data cleaning: understanding the customers' data and its statistical properties as well as preparing a dataset for further analysis
  3. Feature engineering: using business context and expertise to create new data that may provide useful signals in the prediction of outcomes
  4. Modeling and evaluation: Using your engineered dataset to model an outcome and generate predictions. Then, testing these predictions against the ground truth to see whether they are reliable.
  5. Insights & Recommendations: turning the insights of this analysis into business decisions and recommendations.


Each of the tasks in this program aligns to a stage in the data science process and follows a real-world example to bring it to life.

We recognize that these tasks are challenging and that there are undoubtedly phrases and terminology you may not have heard before – don’t worry! We have tried to make this experience as true to life as possible and therefore our ask is that you attempt to seek out independent sources of information and do your own research, as required, to help guide you through the tasks.

Disclaimer: Participation in this job simulation is not an employment relationship with BCG. It is our policy that you do not list your completion of this program as work or internship experience on your CV, LinkedIn, or any other social media or professional platform. For guidance on how to accurately represent your experience, review the Forage CV referencing policy.

Talent Network Open
Skills you will learn and practice:
Business Understanding
Hypothesis Framing
Communication
Programming
Exploratory Data Analysis
Data Visualization
Creativity
Mathematical Modelling
Model Evaluation
Synthesis

How it works

Complete tasks guided by pre-recorded videos and example answers from our team at BCG. No live sessions, all self-paced.
Earn a certificate and add it to your resume and LinkedIn as an extra curricular activity.
Stand out in applications. Confidently answer interview questions and explain why you’re a good fit for our team.
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Introduction from BCG

Explore Our Job Sims

Tasks in this program

Task One: Business Understanding & Hypothesis Framing
30-60 mins
Advanced
Understanding the business context and problem statement.
What you'll learn
  • Meet your client PowerCo - a major gas and electricity utility who is concerned about losing customers
  • How to interpret the business context
  • How to break down the problem before you start your data analysis
What you'll do
  • Determine the client data needed for analysis
  • Outline the techniques you'll use to investigate your client's problem
  • Write an email to your Associate Director summarizing your approach

Reviews

Over 9450
5 Star Reviews
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