10 days ago

Data Science Intern

SkillFied Mentor

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 at SkillFied Mentor

SkillFied Mentor 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
  • Python
  • SQL
  • Pandas
  • Data Analysis
  • Data Cleaning
  • Data Modeling
  • Data Visualization
  • Exploratory Data Analysis (EDA)
  • Machine Learning Basics

Tags:

Data Science Intern
Data Analysis
Data Cleaning
Data Preprocessing
Data Modeling
Data Visualization
Insight Generation
Report Creation
Project Collaboration
Exploratory Data Analysis
Business Decision Support
Python
SQL
Pandas
Machine Learning
Data Structures
Algorithms
Statistical Analysis
Database Management
Jupyter Notebooks
Git

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How to Get Hired at SkillFied Mentor

  • Research SkillFied Mentor's mission: Understand their educational focus, values, and past success stories.
  • Tailor your resume: Highlight Python, SQL, Pandas skills and any data analysis projects.
  • Showcase learning eagerness: Emphasize curiosity and strong foundational data science concepts.
  • Prepare for technical questions: Practice basic Python, SQL queries, and Pandas operations.
  • Demonstrate project work: Be ready to discuss any data projects, even academic ones.

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