Data Science - Internship (WFH)

About the internship:As a data science intern at Skipto Ai International Private Limited, you will have the opportunity to work on cutting-edge projects in the field of artificial intelligence. Your role will involve utilizing your skills in data analysis, data entry, data preparation, and more to support the development of innovative solutions.

Selected intern's day-to-day responsibilities include:

1. Perform data cleaning and extraction tasks to ensure the accuracy and integrity of datasets

2. Conduct data annotation and interpretation activities to uncover valuable insights for decision-making

3. Collaborate with the data engineering team to optimize data pipelines and workflows

4. Utilize tools such as MS Excel, Google Sheets, and Power BI to visualize and communicate data findings

5. Assist in the implementation of data analytics techniques to drive business growth and efficiency

6. Stay up-to-date on industry trends and best practices in data science and artificial intelligence

7. Contribute to the overall success of the team by actively participating in meetings, brainstorming sessions, and project discussions.

8. Assist data teams with cleaning, preprocessing, and structuring unstructured data streams.

9. Conduct exploratory data analysis (EDA) to discover user retention patterns and metrics.

10. Help train, evaluate, and benchmark foundational predictive machine learning models.Who can apply:Only those candidates can apply who:are available for the work from home job/internshipcan start the work from home job/internship between 14th Oct'26 and 18th Nov'26are available for duration of 3 monthshave relevant skills and interestsStipend:INR₹ 10,200 - 30,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hoursSkills required:Data Analytics, MS-Excel, Data entry, Data Interpretation, Power BI, Artificial intelligence, Data Analysis, Data Preparation, Data Extraction, Data Cleaning, Data Engineering, Google Sheets and Data AnnotationOther Requirements:1. Hands-on project experience with Python libraries (Pandas, NumPy, Scikit-learn, Matplotlib).2. Educational background in computer science, data science, statistics, or mathematics.3. Strong problem-solving aptitude and curiosity for building analytical systems.About Company:Skipto AI is an AI-powered business growth platform that helps business owners, startups, and edtech creators scale their revenue using digital marketing, automation, and smart systems. We specialize in building high-performance growth engines through Meta Ads, Google Ads, sales funnels, WhatsApp automation, and content creation, enabling businesses to generate leads and increase conversions efficiently. Skipto AI also works closely with coaches and edtech brands, helping them launch and scale online courses using webinar funnels, LMS platforms, and automated sales systems. Our mission is to empower entrepreneurs with AI-driven tools and strategies to build scalable and profitable businesses.Additional information:

Stipend Structure:

Fixed pay: ₹ 10,000 - 25,000 /month

Incentive pay: ₹ 200 - 5,000 /month

Responsibilities

As a data science intern at Skipto Ai International Private Limited, you will have the opportunity to work on cutting-edge projects in the field of artificial intelligence. Your role will involve utilizing your skills in data analysis, data entry, data preparation, and more to support the development of innovative solutions.

Selected intern's day-to-day responsibilities include:

1. Perform data cleaning and extraction tasks to ensure the accuracy and integrity of datasets

2. Conduct data annotation and interpretation activities to uncover valuable insights for decision-making

3. Collaborate with the data engineering team to optimize data pipelines and workflows

4. Utilize tools such as MS Excel, Google Sheets, and Power BI to visualize and communicate data findings

5. Assist in the implementation of data analytics techniques to drive business growth and efficiency

6. Stay up-to-date on industry trends and best practices in data science and artificial intelligence

7. Contribute to the overall success of the team by actively participating in meetings, brainstorming sessions, and project discussions.

8. Assist data teams with cleaning, preprocessing, and structuring unstructured data streams.

9. Conduct exploratory data analysis (EDA) to discover user retention patterns and metrics.

10. Help train, evaluate, and benchmark foundational predictive machine learning models.