Data Science
Build an AI Model to forecast trends and detect opportunities in Retail Banking
Identify emerging trends and uncover untapped growth opportunities using AI-powered tools and machine learning models.
Certified by
Role
Data Analyst
Industry
Education
No. of Subscribers
16
Level
Intermediate
Time Commitment
60 Hours
Duration
60 days
Tools you’ll learn
Here’s What You Work On
About the Company
This internship offers learners the chance to step into a strategic AI role within a retail banking environment, where their work directly informs high-level business decisions.
You will gain experience working with real-world datasets to identify behavioral shifts, predict product trends, and uncover new customer segments. This is a rare opportunity to blend data science, business intelligence, and communication skills to solve high-impact problems that banks face in a rapidly evolving market.
You will gain experience working with real-world datasets to identify behavioral shifts, predict product trends, and uncover new customer segments. This is a rare opportunity to blend data science, business intelligence, and communication skills to solve high-impact problems that banks face in a rapidly evolving market.
Explore
the following work techniques
Time Series Forecasting
Unsupervised Learning (Clustering)
Trend Hypothesis Generation
Bridging the gap
Retail banks today are overwhelmed with customer data but often struggle to convert it into forward-looking insights that can inform strategy. Traditional reporting surfaces what has happened, but leaders need to know what’s coming next—be it a rise in mobile banking, underutilized product segments, or new market behaviors.
The purpose of this internship is to simulate how AI can be used to:
- Forecast future trends in customer behavior and product demand.
- Detect hidden opportunities via clustering and segmentation.
- Enable proactive decision-making by delivering actionable insights to leadership.
Apply
the following skills
Data Analysis & Modelling
Exploratory Data Analysis (EDA)
Expected output
By the end of the internship, you are to translate AI insights into executive-level recommendations, through a report containing the cluster profiles, possible business opportunities and the visual representation of your findings.
Create
the following deliverables
Business Insights Report (Cluster Profiles, Business Opportunities & Visual Representation)
Jupyter Notebook (Feature PreProcessing, Clustering Implementation & Cluster Visualizations)
What you’ll need before starting
- Python Programming (Intermediate Level)
- Data Analysis & Visualization
- Introductory Machine Learning
