International Data Collection Intern

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Internship

Job Description

Location: Remote / Hybrid (India-based, working with global data)

Duration: 3–6 months

Department: Data Operations & Research

Reports To: Data Operations Manager


About Kuinbee:

  • Role Overview

As an International Data Collection Intern, you will play a key role in sourcing, extracting, and structuring datasets from global sources. You will work with a combination of manual research and automated Python-based tools such as BeautifulSoup, Selenium, and Playwright to gather accurate and well-structured data from websites, APIs, and databases.


  • Key Responsibilities

  1. Web Scraping & Automation

    – Use Python (BeautifulSoup, Selenium, Playwright, Requests) to extract data, structure, and clean it (CSV, JSON, XLSX).
  2. API & Data Sourcing

    – Integrate with APIs and gather datasets from government portals, research databases, industry reports, and open-data repositories.
  3. Data Processing & Quality

    – Apply Pandas/NumPy for cleaning, validation, and ensuring accuracy, completeness, legality, and compliance with privacy laws (GDPR, CCPA).
  4. Documentation & Compliance

    – Maintain replicable scripts, source lists, methodologies, and adhere to licensing, ethical, and legal standards.
  5. Collaboration & Communication

    – Work with analytics, compliance, and product teams; communicate effectively in English.
  6. Preferred Skills

    – Knowledge of Git/GitHub, cloud platforms (AWS/GCP/Azure), Excel/Google Sheets, multilingual abilities, and an academic background in Data Science/Computer Science.


  • What You’ll Gain

  1. Real-world experience in large-scale, international data collection projects.
  2. Exposure to high-demand Python scraping and automation tools.
  3. Hands-on experience in sectors like finance, economics, energy, environment, and agriculture.
  4. Mentorship from experienced data engineers and analysts.
  5. Possibility of full-time placement based on performance.

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