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📈 Trending among freshers✓ Verified Listing

Data Science Intern

Cars24Competition: Moderate • Entry Level
|Not Disclosed|By CampusToCareer Editorial Team|Posted today|Last verified today
✓ Company career page verified✓ Application route verifiedLast checked on Jul 16, 2026
💼 Experience Required
Fresher
🕒 Employment Type
Internship
🎓 Target Batch
Any
🚀 Role Category
Data Science
📌 How to Apply
Click on the Apply button
💰 Stipend
20K - 30K per month
Skills Recommended
AIMachine Learning
Career Guide • 10 min read

Complete preparation guide for Data Science Intern at Cars24

As a Data Science Intern at Cars24, you will work on building AI-powered solutions, developing machine learning models, and analyzing large-scale data to drive business decisions. You will collaborate with cross-functional teams, including data science, engineering, and business, to contribute to products used by millions of users. This internship offers a stipend of 20K - 30K per month and a potential pre-placement offer (PPO).

✓ AI Assisted • Fact CheckedCampusToCareer Editorial TeamUpdated 15 Jul 2026

About Cars24

Cars24 is a leading e-commerce platform for pre-owned vehicles in India. Founded in 2015, the company has grown rapidly and expanded its operations to multiple countries. Cars24 uses data science and AI to drive business decisions, improve customer experience, and optimize operations. As a data-driven organization, Cars24 offers a unique opportunity for data science enthusiasts to work on real-world problems and contribute to the company's growth.

Required Skills Explained

AI

Why required: AI is required to build intelligent systems that can analyze data, make predictions, and drive business decisions. As a data science intern, you will work on developing AI-powered solutions to solve real-world problems.

How recruiters evaluate: The recruiter will evaluate your understanding of AI concepts, including machine learning, deep learning, and natural language processing. They will also assess your ability to apply AI techniques to solve business problems.

  • Andrew Ng's AI course on Coursera
  • Stanford University's AI course on edX

Machine Learning

Why required: Machine learning is a critical skill for data science professionals, as it enables them to develop predictive models and analyze large-scale data. As a data science intern, you will work on developing machine learning models to drive business decisions.

How recruiters evaluate: The recruiter will evaluate your understanding of machine learning concepts, including supervised and unsupervised learning, regression, classification, and clustering. They will also assess your ability to apply machine learning techniques to solve business problems.

  • Machine Learning course on Coursera
  • Python Machine Learning book by Sebastian Raschka

Who Should Apply

freshers

Freshers with a passion for AI, machine learning, and data science can apply for this internship. The company offers a stipend and a potential PPO, making it an attractive opportunity for students looking to start their career in data science.

experienced

Experienced professionals may not be a good fit for this internship, as it is designed for freshers and students. However, they can consider other roles at Cars24 that match their skills and experience.

graduates

Graduates with a degree in computer science, mathematics, or statistics can apply for this internship. The company looks for candidates with a strong foundation in AI, machine learning, and data science.

btech

B.Tech students with a degree in computer science or related fields can apply for this internship. The company offers a stipend and a potential PPO, making it an attractive opportunity for students looking to start their career in data science.

mca

MCA students with a degree in computer science or related fields can apply for this internship. The company looks for candidates with a strong foundation in AI, machine learning, and data science.

diploma

Diploma holders with a degree in computer science or related fields may not be a good fit for this internship, as the company looks for candidates with a strong foundation in AI, machine learning, and data science.

Typical Hiring Process

  1. Round 1: The hiring process starts with a resume screening, where the recruiter evaluates the candidate's skills, experience, and education.
  2. Round 2: Shortlisted candidates are invited for a technical interview, where they are assessed on their technical skills, including AI, machine learning, and data science.
  3. Round 3: Candidates who clear the technical interview are invited for a final round of interview, where they are assessed on their communication skills, teamwork, and problem-solving abilities.

Resume Tips for This Role

  • Highlight your skills in AI, machine learning, and data science.
  • Include relevant projects or internships that demonstrate your skills.
  • Use a clear and concise format to make it easy for the recruiter to evaluate your resume.

Interview Preparation Tips

  • Prepare to answer technical questions on AI, machine learning, and data science.
  • Practice solving problems on platforms like LeetCode or HackerRank.
  • Be ready to discuss your projects or internships and how they demonstrate your skills.

Possible Interview Questions (10)

  1. What is your understanding of AI and machine learning?
  2. How do you approach a problem in data science?
  3. Can you explain a project you worked on that demonstrates your skills in AI or machine learning?
  4. How do you handle missing data in a dataset?
  5. Can you explain the concept of overfitting in machine learning?
  6. How do you evaluate the performance of a machine learning model?
  7. Can you explain the concept of regularization in machine learning?
  8. How do you approach a problem that requires both AI and machine learning?
  9. Can you explain the concept of transfer learning in deep learning?
  10. How do you stay updated with the latest developments in AI and machine learning?

Salary Insights (India)

Industry range

The salary range for data science interns in the industry is typically between 15K - 30K per month.

Freshers

Freshers with a degree in computer science or related fields can expect a salary range of 10K - 20K per month.

Experienced

Experienced professionals with a degree in computer science or related fields can expect a salary range of 30K - 60K per month.

The salary for data science professionals is expected to grow rapidly in the next few years, driven by the increasing demand for AI and machine learning skills.

Career Path Roadmap

1
Data Scientist

A data scientist is a professional who collects, analyzes, and interprets complex data to gain insights and make informed decisions. They use machine learning algorithms and statistical models to identify trends and patterns in data.

2
Machine Learning Engineer

A machine learning engineer is a professional who designs and develops artificial intelligence and machine learning systems. They use programming languages like Python and R to develop predictive models and deploy them to production environments.

3
Business Analyst

A business analyst is a professional who uses data analysis and modeling techniques to drive business decisions. They work with stakeholders to identify business needs and develop solutions to address them.

Why This Opportunity Is Worth Considering

  • The company offers a stipend and a potential PPO, making it an attractive opportunity for students looking to start their career in data science.
  • The company uses data science and AI to drive business decisions, offering a unique opportunity for data science enthusiasts to work on real-world problems.
  • The company has a strong team of data science professionals, offering a great opportunity for learning and growth.

Things To Know Before Applying

  • The company is a leading e-commerce platform for pre-owned vehicles in India.
  • The company uses data science and AI to drive business decisions.
  • The company has a strong team of data science professionals.

Recommended Courses

Andrew Ng's AI course on Coursera
Coursera

This course provides a comprehensive introduction to AI and machine learning.

Machine Learning course on Coursera
Coursera

This course provides a comprehensive introduction to machine learning.

Python Machine Learning book by Sebastian Raschka
Packt Publishing

This book provides a comprehensive introduction to machine learning with Python.

Career Advice

To succeed in a career in data science, it's essential to have a strong foundation in AI, machine learning, and data science. Stay updated with the latest developments in the field, and practice solving problems on platforms like LeetCode or HackerRank.

Editorial Note: This internship is a great opportunity for students looking to start their career in data science. The company offers a stipend and a potential PPO, making it an attractive opportunity for freshers. The company uses data science and AI to drive business decisions, offering a unique opportunity for data science enthusiasts to work on real-world problems.
Written by CampusToCareer Editorial Team • AI Assisted • Fact Checked

Frequently Asked Questions

The stipend for this internship is 20K - 30K per month.
No, this internship is designed for freshers and students.
The skills required for this internship include AI, machine learning, and data science.

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Original Job Description

The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.

Job Description

Hiring Data Science Intern at Cars24

We're hiring a Data Science & AI Intern.

💵 Stipend: 20K - 30K per month + PPO

If you're passionate about AI, Machine Learning, and solving real-world business problems, we'd love to hear from you.

As an intern, you'll work closely with our Data Science, Engineering, and Business teams to build AI-powered solutions, develop ML models, analyze large-scale data, and contribute to products used by millions of users.