12 days ago

Data Science Intern

Wake Up Whistle

Hybrid
Intern
$0
Hybrid

Job Overview

Job TitleData Science Intern
Job TypeIntern
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$0
LocationHybrid

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Job Description

About the Data Science Intern Role

Wake Up Whistle is seeking passionate and driven Data Science Interns eager to work with real datasets and build a strong foundation in data science. This role involves hands-on work with Python, SQL, and Pandas to perform data cleaning, preprocessing, exploratory data analysis (EDA), basic data modeling, and generating insights.

Roles & Responsibilities

  • Work with data using Python, SQL, and Pandas
  • Perform data cleaning, preprocessing, and exploratory data analysis
  • Build basic data models and generate insights
  • Create reports and visualizations for business decisions
  • Collaborate with the team on real-world data projects

Eligibility Criteria

This internship is open to freshers and students. A basic knowledge of Python, SQL, and Pandas along with an understanding of data analysis concepts is required. A curious mindset and a willingness to learn are essential.

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” button.

Key skills/competency

  • Python
  • SQL
  • Pandas
  • Data Analysis
  • EDA
  • Data Cleaning
  • Reporting
  • Visualization
  • Internship
  • Remote

Tags:

data science intern
Python
SQL
Pandas
data analysis
EDA
data cleaning
modeling
reporting
visualization
internship
remote

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How to Get Hired at Wake Up Whistle

  • Customize Resume: Tailor skills to match data science requirements.
  • Highlight Projects: Showcase relevant academic or personal projects.
  • Research Wake Up Whistle: Understand company goals and culture.
  • Prepare Examples: Demonstrate Python and SQL proficiency.

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