16 days ago

Data Science Intern

Skillfied Mentor Jobs

Hybrid
Intern
$0
Hybrid
Apply

Job Overview

Job TitleData Science Intern
Job TypeIntern
Offered Salary$0
LocationHybrid

Who's the hiring manager?

Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Uncover Hiring Manager

Job Description

Data Science Intern (Python, SQL, Pandas)

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. Apply before 21st May to be considered for this opportunity.

Key skills/competency

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

Tags:

Data Science Intern
Python
SQL
Pandas
Data Analysis
Data Cleaning
EDA
Data Modeling
Data Visualization
Internship
Remote
Virtual
Fresher
Student
Skillfied Mentor Jobs

Share Job:

How to Get Hired at Skillfied Mentor Jobs

  • Customize your resume: Highlight Python, SQL, Pandas, and data analysis skills.
  • Showcase your projects: Include any personal or academic data science projects.
  • Emphasize learning: Clearly state your eagerness to learn and grow in data science.
  • Apply early: Submit your application before the May 21st deadline.

Frequently Asked Questions

Find answers to common questions about this job opportunity

Explore similar opportunities that match your background