Data Science Intern (Python, SQL, Pandas)
Skillfied Mentor Jobs · India
- Hybrid
- Internship
- India
Job highlights
- Learn data science with real datasets.
- Use Python, SQL, and Pandas.
- Perform data cleaning and analysis.
- Build models and create visualizations.
- Gain hands-on experience and certificate.
About the role
Data Science Intern (Python, SQL, Pandas)
We are seeking passionate and driven Data Science Interns who are eager to learn, work with real datasets, and build a strong foundation in data science.
Roles & Responsibilities
- Work with data using Python, SQL, and Pandas
- Perform data cleaning, preprocessing, and exploratory data analysis (EDA)
- Build basic data models and generate insights
- Create reports and visualizations to support business decisions
- Collaborate with the team on real-world data projects
Eligibility Criteria
- Freshers and students are welcome
- Basic knowledge of Python, SQL, and Pandas
- Understanding of data analysis concepts
- Curious mindset and willingness to learn
Internship Details
- Mode: Virtual / Remote
- Duration: Flexible
- Stipend: Not stipend based
- Perks & Benefits: Hands-on experience with real datasets, Internship Certificate, Skill development & project-based learning
- Top performers will receive 100% placement support
How to Apply
Interested candidates can apply by clicking on the “Apply” option. Apply before 21st May to be considered for this opportunity.
Key skills/competency
- Data Science Intern
- Python
- SQL
- Pandas
- Data Cleaning
- Data Preprocessing
- Exploratory Data Analysis (EDA)
- Data Modeling
- Data Visualization
- Business Insights
Skills & topics
- Data Science Intern
- Python
- SQL
- Pandas
- Data Analysis
- Data Cleaning
- EDA
- Data Modeling
- Data Visualization
- Internship
- Remote
- Virtual
- Fresher
- Student
- Skillfied Mentor Jobs
How to get hired
- Customize your resume: Highlight Python, SQL, Pandas, and data analysis skills.
- Showcase your projects: Include any personal or academic data science projects.
- Emphasize learning: Clearly state your eagerness to learn and grow in data science.
- Apply early: Submit your application before the May 21st deadline.
Technical preparation
Master Python basics and data structures.,Practice SQL queries for data retrieval.,Learn Pandas for data manipulation.,Understand EDA and data visualization.
Behavioral questions
Describe a time you learned something new.,How do you handle working with data?,Share an example of teamwork.,What are your career aspirations?
Frequently asked questions
- What is the application deadline for the Data Science Intern role at Skillfied Mentor Jobs?
- The application deadline for the Data Science Intern position at Skillfied Mentor Jobs is May 21st. Applying before this date increases your chances of consideration.
- Is this a paid internship or an unpaid Data Science Intern position?
- The Data Science Intern position at Skillfied Mentor Jobs is not stipend-based, meaning it is an unpaid internship. However, it offers valuable hands-on experience and skill development.
- What are the key technical skills required for the Data Science Intern role?
- For the Data Science Intern role, essential technical skills include proficiency in Python, SQL, and the Pandas library. A basic understanding of data analysis concepts is also necessary.
- What is the work arrangement for the Data Science Intern position?
- The Data Science Intern position at Skillfied Mentor Jobs is a virtual/remote internship, allowing you to work from any location.
- What are the benefits of completing the Data Science Intern program at Skillfied Mentor Jobs?
- Benefits include hands-on experience with real datasets, an internship certificate, significant skill development through project-based learning, and 100% placement support for top performers.
- Am I eligible for the Data Science Intern role if I am a fresher or student?
- Yes, freshers and students are explicitly welcome to apply for the Data Science Intern position. The role is designed for individuals eager to learn and build a foundation in data science.