In today’s data-driven world, mastering GenAI Powered Data Analytics Internship opens doors to high-demand careers in tech, finance, and beyond. Tata Group’s groundbreaking free online internship equips students, freshers, and professionals with practical skills through real-world simulations, all leading to a prestigious certificate. This self-paced program via Forage platform lets you learn from anywhere, no prior experience needed.
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Table of Contents
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Why complete this job simulation
A risk-free way to experience work on the job with us at Tata. Practice your skills with example tasks and build your confidence to ace your applications.
Welcome to the GenAI Powered Data Analytics Job Simulation! We are thrilled to have you here.
Tata Insights and Quants (Tata iQ) is the Tata Group’s advanced analytics and AI center of excellence. Tata iQ partners with companies across the Group to turn data into competitive advantage by enabling smarter, data-informed decision-making.
During this program, you will step into the role of an AI transformation consultant and complete tasks that replicate the work this role does every day. You’ll learn key skills in:
- Predictive modeling using GenAI tools
- Data exploration and quality assessment
- Business storytelling and recommendation design
- Designing AI-driven systems for fair and responsible automation
We hope this program provides a great resource for you to upskill and strengthen your resume as you explore career options and a potential future at Tata iQ
How it works for Tata
Complete tasks guided by pre-recorded videos and example answers from our team at Tata. No live sessions, all self-paced.
Earn a certificate and add it to your resume and LinkedIn as an extracurricular activity.
Stand out in applications. Confidently answer interview questions and explain why you’re a good fit for our team.
Skills you will learn and practice: Tata
Exploratory Data Analysis
AI Analytics
Analytical Reporting
Data Quality Management
Predictive Analytics
Model Selection
Model Validation
Business Communication
Strategic Thinking
Ethical Reasoning
Data Interpretation
Decision Making
AI Strategy
Regulatory Compliance
Process Automation
Tasks in this program
Intro & Scenario
Your role
- You are an AI transformation consultant at Tata iQ, specializing in data-driven decision-making for financial services.
- You work within a larger data analytics team, collaborating with business leaders to develop AI-powered solutions.
- Your team has been tasked with helping Geldium Finance, a financial services company, reduce its high credit card delinquency rate by performing advanced analytics and building AI/ML models with the assistance of GenAI.
Your goal
- Your primary objective is to analyze customer data and predict delinquency risks using AI-driven techniques.
- You will develop a recommendation framework to help the Head of Collections at Geldium determine the best intervention strategies for at-risk customers.
- Throughout the project, you will ensure that AI-driven solutions are ethical, explainable, and effective in supporting responsible financial decision-making.
Task One: Exploratory data analysis and risk profiling
What you’ll learn
- How to conduct exploratory data analysis (EDA) using GenAI.
- Techniques to handle missing values and ensure data quality.
- Understanding customer risk factors for delinquency.
- How to leverage synthetic data generation to enhance datasets when real data is insufficient.
What you’ll do
- Identify key datasets required to predict delinquency.
- Perform an exploratory analysis on provided datasets, using GenAI tools to assist with summarization, treatment of missing data, risk profiling, and synthetic data creation.
- Document your findings, including data patterns and anomalies that may impact predictions.
Task Two: Predicting delinquency with AI
Design a predictive model to identify at-risk customers using GenAI-powered insights and responsible evaluation strategies
What you’ll learn
- How to leverage GenAI for predictive modeling without coding.
- Common techniques for credit risk modeling (e.g., decision trees, logistic regression, neural networks).
- Evaluating model performance and ethical considerations (bias, explainability, fairness).
- How to utilize GenAI tools like ChatGPT or Google Gemini to generate model code and refine predictions.
What you’ll do
- Use GenAI tools to generate model logic for predicting customer delinquency.
- Choose and justify the best predictive approach.
- Outline a plan to evaluate model accuracy and reliability.
Task Three: Business report and data storytelling for collections strategy
30-60 mins
Intermediate
Turn AI insights into strategy by crafting a stakeholder-ready business report to guide delinquency reduction efforts
What you’ll learn
- How to translate predictive insights into actionable business recommendations.
- Best practices for presenting AI-driven insights to key stakeholders.
- Considerations for ethical AI, bias, explainability, and responsible decision-making.
What you’ll do
- Prepare a two-page summary report for the Head of Collections to share with their team, emphasizing key risk factors, delinquency trends, and recommended intervention strategies.
- Develop a structured recommendation framework that outlines the next steps, key takeaways, and business justifications for proposed actions.
- Discuss ethical considerations, such as responsible AI for financial decision-making and customer fairness.
Task Four: Implementing an AI-driven collections strategy
What you’ll learn
- How to design an AI-powered, autonomous debt-management system.
- The role of agentic AI in automating financial decision-making.
- Strategies for ensuring compliance, transparency, and fairness in AI-driven financial services.
- How to align AI-driven insights with financial industry regulatory standards.
What you’ll do
- Design a presentation outlining a framework for an AI-powered collections system, showing how AI can automate and optimize outreach efforts.
- Identify guardrails to prevent unfair or biased decision-making.
- Discuss how agentic AI can continuously adapt to changes in delinquency patterns.
Finish Line
Interview Tips
How to talk about this experience in your interviews.
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Resume Snippet
A summary ready for your resume.
How To Apply?
If you are an Interested Candidate, you can apply for the Tata Offers Online GenAI Powered Data Analytics Internship for Everybody, with Free Certificate Apply Today Click Here.