6 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

Data Science Intern at Wake Up Whistle

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.

Key skills/competency

  • Data Science
  • Python
  • SQL
  • Pandas
  • Data Cleaning
  • Data Preprocessing
  • Exploratory Data Analysis (EDA)
  • Data Modeling
  • Data Visualization
  • Business Intelligence

Tags:

Data Science Intern
Python
SQL
Pandas
Data Cleaning
Data Preprocessing
Exploratory Data Analysis
Data Modeling
Data Visualization
Business Decisions
Analytics
Machine Learning
Reporting
Collaboration
Internship
Students
Beginner
Entry-level
Virtual
Remote

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How to Get Hired at Wake Up Whistle

  • Research Wake Up Whistle's mission: Understand their goals and how data science contributes to their success.
  • Tailor your resume for data science: Highlight Python, SQL, and Pandas projects and coursework relevant to data analysis.
  • Showcase your data portfolio: Include personal projects demonstrating data cleaning, EDA, and visualization skills.
  • Prepare for technical questions: Practice SQL queries, Python data manipulation, and data analysis concepts.
  • Demonstrate a curious mindset: Be ready to discuss your eagerness to learn and problem-solve in data science.

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