6 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

Data Science Intern

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 Analysis
  • Data Modeling
  • Data Cleaning
  • Data Visualization
  • Exploratory Data Analysis (EDA)
  • Machine Learning Basics

Tags:

Data Science Intern
Python
SQL
Pandas
Data Analysis
Data Modeling
Data Cleaning
Data Visualization
Exploratory Data Analysis
Machine Learning
Data Insights
SQL Server
Jupyter Notebook
NumPy
SciPy
Matplotlib
Seaborn
Scikit-learn
Git
Cloud Platforms

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How to Get Hired at SkillFied Mentor

  • Research SkillFied Mentor's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for data science: Customize your resume to highlight Python, SQL, and Pandas skills, and any relevant data analysis projects.
  • Showcase your passion for data: Emphasize your curiosity and eagerness to learn data science concepts during your application and potential interviews.
  • Prepare for technical assessments: Practice basic Python, SQL queries, and Pandas data manipulation relevant to data science tasks.
  • Highlight collaborative experience: Be ready to discuss how you've worked in teams on projects, even academic ones, to demonstrate teamwork.

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