Data Science Intern (Python, SQL, Pandas)
Wake Up Whistle · India
- Hybrid
- Internship
- India
Job highlights
- Internship focused on data science with Python, SQL, Pandas.
- Gain hands-on experience with real datasets and projects.
- Develop skills in data cleaning, modeling, and visualization.
- Eligibility for freshers and students with basic knowledge.
- Remote internship with potential for placement support.
About the role
Data Science Intern (Python, SQL, Pandas)
Wake Up Whistle is 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.
Key skills/competency
- Data Science Intern
- Python
- SQL
- Pandas
- Data Cleaning
- Data Preprocessing
- Exploratory Data Analysis (EDA)
- Data Modeling
- Data Visualization
- Data Analysis
Skills & topics
- Data Science
- Intern
- Python
- SQL
- Pandas
- Data Analysis
- Data Cleaning
- Data Modeling
- Data Visualization
- Remote Internship
How to get hired
- Tailor your resume: Highlight your Python, SQL, and Pandas skills, and any data analysis projects.
- Showcase your potential: Emphasize your curious mindset and willingness to learn in your application.
- Apply directly: Click the 'Apply' option to submit your application through the company's portal.
- Prepare for interviews: Be ready to discuss basic data analysis concepts and your problem-solving approach.
Technical preparation
Practice Python data manipulation with Pandas.,Write SQL queries for data extraction and analysis.,Understand data cleaning and preprocessing steps.,Familiarize with basic data visualization techniques.
Behavioral questions
Describe a time you learned a new skill.,How do you approach a new data problem?,Share an example of your curiosity.,How do you collaborate with a team?
Frequently asked questions
- Is the Data Science Intern role at Wake Up Whistle paid?
- The Data Science Intern role at Wake Up Whistle is not stipend-based. However, top performers may receive 100% placement support.
- What are the key technical skills required for the Data Science Intern position at Wake Up Whistle?
- The Data Science Intern role requires basic knowledge of Python, SQL, and Pandas, along with an understanding of data analysis concepts.
- Can freshers and students apply for the Data Science Intern role at Wake Up Whistle?
- Yes, Wake Up Whistle explicitly welcomes freshers and students to apply for the Data Science Intern position.
- What is the work arrangement for the Data Science Intern role at Wake Up Whistle?
- The Data Science Intern role at Wake Up Whistle is a virtual/remote internship.
- What kind of projects can I expect as a Data Science Intern at Wake Up Whistle?
- As a Data Science Intern, you will work with real datasets on various data projects, including data cleaning, preprocessing, modeling, and creating reports and visualizations.
- What are the benefits of the Data Science Intern role at Wake Up Whistle?
- Interns gain hands-on experience with real datasets, receive an internship certificate, develop skills through project-based learning, and top performers get placement support.
- How do I apply for the Data Science Intern position at Wake Up Whistle?
- Interested candidates can apply by clicking on the 'Apply' option provided in the job posting.