Data Science

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

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 simulation is for you!

At BCG, our purpose is to unlock the potential of those who advance the world. We do this by partnering with leading companies to help them solve their most complex challenges. In this job simulation, you will gain enviable insight into what it’s like to solve these meaningful challenges with our diverse and forward-thinking team at BCG X. The simulation 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.

At BCG X, we are technologists, scientists,  programmers, engineers, and human-centered designers who build to address the world’s most important challenges and opportunities. We transform 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. When tackling a business problem there are typically 5 high-level steps that we follow:

Business understanding & problem framing: understanding the context of the customer and the problem they’re trying to solve with dataExploratory data analysis & data cleaning: understanding the customers’ data and its statistical properties as well as preparing a dataset for further analysisFeature engineering: using business context and expertise to create new data that may provide useful signals in the prediction of outcomesModeling 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.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.

This program is self-paced. It takes approximately 8-9 hours to complete.

Skills Learned:

• Background Information
  
• Understand the business and frame the problem
  Getting to know the client and their challenges
  • Business Understanding
  • Hypothesis Development
  • Communication
• Exploratory Data Analysis and Data Cleaning 
  Understanding the business through data
  • Programming
  • Exploratory Data Analysis
  • Data Visualization
• Feature Engineering
  Uncovering signals within the data, predicting churn probability and evaluating model performance
  • Creativity
  • Mathematical Modeling
  • Model Assessment
• Modeling and Evaluation
  Using the data to make predictions
  • Information Synthesis
  • Client Communication
  • Model Analysis
• Insights and Recommendations
  Presenting your results and giving recommended actions to the client
• Finish Line