Search by job, company or skills

skillzenloop

Data Science Intern (Entry Level) | Python | Analytics | Data Visualization | Remote

Fresher

This job is no longer accepting applications

  • Posted 2 days ago

Job Description

Data Science Intern (Entry Level) | Python | Analytics | Data Visualization | Remote

SkillzenLoop is hiring Data Science Interns who are enthusiastic about working with data, uncovering insights, and supporting data-driven decision-making processes. This internship offers practical experience in analytics, data preparation, reporting, and business intelligence workflows within a remote professional environment.

Employment Type: Full-Time Internship

Duration: 1–3 Months

Stipend: ₹15,300 per month

Key Responsibilities:

* Assist in collecting, cleaning, and organizing datasets

* Support analytical projects and reporting activities

* Perform exploratory data analysis and trend identification

* Create summaries, dashboards, and visual reports

* Work with structured and semi-structured datasets

* Maintain project documentation and reporting records

* Collaborate with teams on analytics and business intelligence assignments

Requirements:

* Basic understanding of data science and analytics concepts

* Knowledge of Python, Excel, or data analysis fundamentals

* Strong analytical and logical reasoning skills

* Attention to detail and data accuracy

* Ability to work independently and manage assigned responsibilities

Preferred:

* Familiarity with Pandas, NumPy, Matplotlib, or Power BI

* Academic or personal data science projects

* Understanding of statistics and visualization techniques

* Exposure to SQL or reporting tools

Benefits:

* Practical exposure to data science and analytics workflows

* Experience working on reporting and business intelligence projects

* Opportunity to contribute to implementation-focused analytical initiatives

* Professional growth in a structured remote environment

* Internship certificate based on performance and participation

More Info

Job Type:
Industry:
Function:
Employment Type:

About Company

Job ID: 149169391