GenAI

Develop a chatbot to assist with financial inquiries with the GenAI team at BCG

Complete work that simulates life on the job. 3-4 hours and self-paced.
Stand out in your application to BCG. Show us you're a motivated candidate.

Why complete this 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.

Self-paced

3-4 hours

No grades

Optional assessment

Intermediate

Welcome to our program! We are so excited to have you here.

Boston Consulting Group is a global consulting firm that partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. Our success depends on a spirit of collaboration and a global community of diverse individuals determined to improve the world and each other daily.

We hope this module provides a great resource for you to upskill and strengthen your resume as you explore career options and a potential career at BCG!

After finishing each module, you’ll be provided with real work sample answers from our leaders, and you can see how our top-tier consultants and designers would have tackled each task so that you can learn from their approach.

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.

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 on applications. Confidently answer interview questions and explain why you’re a good fit for our team.

Skills you will learn and practice:

AI Development

Data Extraction

Data Science Tools

Excel

Financial Analysis

Logical Thinking

Natural Language Processing

Python Programming

Tasks

Intro & Scenario

Background context and your project team

Your role

You are a junior data scientist at Boston Consulting Group (BCG), specifically part of the GenAI consulting team.
Your team consists of diverse talents, each contributing unique skills and perspectives to the projects. You are the newest addition to this dynamic team.
You have been given the responsibility of developing an AI-powered chatbot that analyzes financial documents. This is a cutting-edge project at the intersection of finance and generative AI (GenAI), a growing area of interest and investment at BCG.
As an ambitious junior data scientist eager to make your mark, you see this as a golden opportunity to apply your technical expertise in AI and data analysis while also learning about the financial domain.

Your goal

Your primary objective is to extract and analyze key financial data from the client's 10-K and 10-Q documents. This involves understanding financial statements, identifying significant trends, and preparing data for AI-driven applications.
Following the data analysis, you will develop an AI-powered financial chatbot. This chatbot must be capable of analyzing financial data and providing insights that effectively communicate complex financial information in an interactive and user-friendly manner.
Throughout the project, your focus will not only be on the technical execution but also on how these AI-driven insights can be leveraged in a consulting context to provide strategic recommendations and solutions to clients.

Intro & Scenario

Background context and your project team

Your role

You are a junior data scientist at Boston Consulting Group (BCG), specifically part of the GenAI consulting team.
Your team consists of diverse talents, each contributing unique skills and perspectives to the projects. You are the newest addition to this dynamic team.
You have been given the responsibility of developing an AI-powered chatbot that analyzes financial documents. This is a cutting-edge project at the intersection of finance and generative AI (GenAI), a growing area of interest and investment at BCG.
As an ambitious junior data scientist eager to make your mark, you see this as a golden opportunity to apply your technical expertise in AI and data analysis while also learning about the financial domain.

Your goal

Your primary objective is to extract and analyze key financial data from the client's 10-K and 10-Q documents. This involves understanding financial statements, identifying significant trends, and preparing data for AI-driven applications.
Following the data analysis, you will develop an AI-powered financial chatbot. This chatbot must be capable of analyzing financial data and providing insights that effectively communicate complex financial information in an interactive and user-friendly manner.
Throughout the project, your focus will not only be on the technical execution but also on how these AI-driven insights can be leveraged in a consulting context to provide strategic recommendations and solutions to clients.

Reviews

4.6

I liked that the simulation was practical and it gave me the opportunity to work on a realistic business problem. It helped me understand how financial data can be extracted, analyzed, and then integrated into an AI-powered chatbot. The step-by-step tasks also made concepts like financial metrics, data preprocessing, rule-based logic and chatbot design easier to understand for me.

Student, SCTR'S Pune Institute of Computer Technology

The program demonstrated how generative AI can be used to analyze data, generate insights, and support strategic decision-making. I liked seeing AI in action for business problem-solving.The tasks were interactive and required active participation, which made the program engaging and immersive. It wasn’t just reading slides—it was about thinking critically and making decisions.

Student, Indira Gandhi National Open University

I enjoyed the simulation because it provided hands-on experience with financial analysis and showed how data and AI can be used to generate business insights. Working with real company financial data, using Python for analysis, and building a simple chatbot made the learning practical, engaging, and relevant to real-world decision-making.

Student, Maharshi Dayanand University