11 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

  • Python
  • SQL
  • Pandas
  • Data Cleaning
  • Exploratory Data Analysis (EDA)
  • Data Modeling
  • Data Visualization
  • Business Insights
  • Collaborative Projects
  • Machine Learning Concepts

Tags:

Data Science Intern
Data Analysis
Data Cleaning
Data Preprocessing
EDA
Data Modeling
Data Visualization
Report Generation
Business Insights
Project Collaboration
Skill Development
Python
SQL
Pandas
NumPy
Matplotlib
Seaborn
Jupyter
Scikit-learn
Git

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How to Get Hired at Wake Up Whistle

  • Research Wake Up Whistle's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Customize your resume: Highlight Python, SQL, and Pandas projects relevant to data analysis and problem-solving.
  • Showcase your data portfolio: Include personal projects, academic work, or Kaggle notebooks demonstrating your skills.
  • Prepare for technical questions: Practice SQL queries, Python data manipulation (Pandas), and foundational EDA concepts.
  • Demonstrate a curious mindset: Be ready to discuss your passion for data science and continuous learning initiatives.

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