Junior Data Science Intern

Inspot IT

IndiaFresher3h agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year
Must know
Machine learningStatisticsStakeholder managementOperationsPythonR
Nice to have
Data analysis
Work
On-site in India · internship
Pay
Not stated by the employer.
Skill demand
Statistics59%Stakeholder management31%Operations19%Machine learning2%of 100 similar fresher jobs posted in India this week
Listed
31 Oct 2026 · still open

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About the Role

The Junior Data Science Intern role is a remote internship focused on supporting data-driven initiatives across the organization. This role offers mentoring, exposure to real-world datasets, and opportunities to learn best practices in data science workflows, documentation, and collaboration.

Key Responsibilities

  • Collect, clean, and organize data from various sources.
  • Perform basic exploratory data analysis.
  • Assist with building and evaluating statistical and machine learning models under supervision.
  • Prepare visualizations and reports to communicate insights to team members and stakeholders.
  • Contribute to small data analytics projects that inform product, operations, or business decisions.

Requirements & Tech Stack

  • Strong foundation in Analytical Skills and Data Analysis.
  • Basic understanding of Statistics and Data Science concepts.
  • Familiarity with Data Analytics tools or languages such as Python, R, SQL, or similar technologies.
  • Enrollment in or completion of coursework in Computer Science, Data Science, Mathematics, Statistics, or a related field.
  • Ability to work independently in a remote environment, manage time effectively, and collaborate with distributed teams.
  • Clear written and verbal communication skills, especially for explaining technical findings to non-technical audiences.
  • Interest in learning modern data science practices, version control (e.g., Git), and visualization tools (e.g., Tableau, Power BI, or libraries like Matplotlib/Seaborn).
  • Prior academic projects, personal projects, or internships involving data analysis are advantageous but not required.

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