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Open nowPosted 313 days ago

Data Scientist Internship

metasysglobal25 open roles

Where
International
Work mode
Remote
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Your applicationOpen nowData Scientist Internshipmetasysglobal · International

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 313 days ago

The posting

Role Overview

We are seeking a curious and analytical Data Scientist Intern to support data-driven decision-making across business and technology teams. This internship offers hands-on experience working with real-world datasets, building analytical models, and translating data insights into actionable outcomes.

This role is ideal for students or recent graduates looking to build a strong foundation in data science, analytics, and applied machine learning.

Internship Details

  • Duration: 3 months, with potential extension based on performance
  • Work Mode: Remote
  • Stipend: Unpaid initially; performance-based evaluation in the first quarter may lead to a paid internship extension or full-time opportunity
  • Working Hours: 8 hours per day

Key Responsibilities

  • Collect, clean, and preprocess structured and unstructured data
  • Perform exploratory data analysis (EDA) to identify trends and patterns
  • Assist in building and validating statistical and machine learning models
  • Create data visualizations and dashboards to communicate insights
  • Support data-driven decision-making through reports and presentations
  • Collaborate with engineering, product, and business teams
  • Document methodologies, findings, and outcomes

Required Skills & Qualifications

  • Currently pursuing or recently completed a degree in: Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
  • Strong understanding of statistics and data analysis fundamentals
  • Proficiency in Python
  • Experience with libraries such as Pandas, NumPy, Matplotlib, Seaborn
  • Basic knowledge of SQL
  • Strong analytical and problem-solving skills

Preferred / Technical Skills

  • Familiarity with machine learning algorithms and workflows
  • Exposure to Scikit-learn, TensorFlow, or PyTorch
  • Experience with data visualization tools (Tableau, Power BI, or similar)
  • Knowledge of version control systems (Git)
  • Understanding of data pipelines and ETL concepts

What You Will Gain

  • Hands-on experience with real-world datasets and business problems
  • Practical exposure to data science and analytics workflows
  • Mentorship from experienced data scientists and engineers
  • Experience collaborating with cross-functional teams
  • Certificate of Internship Completion upon successful completion
  • Opportunity for paid or full-time conversion based on performance
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