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Graduate Data Scientist; Remote

Remote / Online - Candidates ideally in
Benoni, 1501, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-13
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Job Description & How to Apply Below
Position: Graduate Data Scientist (Remote)
Location: Benoni

About the Role

Our client is seeking a bright and analytical Graduate Data Scientist to join their innovative team in a fully remote capacity. This role is perfect for recent graduates with a passion for data, statistics, and machine learning, eager to dive into complex datasets and extract meaningful insights. You will work on challenging projects, applying advanced analytical techniques to solve business problems and drive data-informed decision-making.

This is a remote-first position, offering flexibility and the opportunity to collaborate with a geographically dispersed team.

Key Responsibilities
  • Assist in collecting, cleaning, and transforming large datasets from various sources.
  • Develop and implement statistical models and machine learning algorithms.
  • Analyze data to identify trends, patterns, and actionable insights.
  • Create data visualizations and reports to communicate findings to stakeholders.
  • Collaborate with engineering and product teams to integrate data science solutions.
  • Stay abreast of the latest advancements in data science and machine learning.
Requirements
  • Master's or Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
  • Strong programming skills in Python or R, including relevant libraries (e.g., Pandas, Num Num, Scikit-learn).
  • Solid understanding of statistical concepts and machine learning techniques.
  • Experience with data visualization tools and techniques.
  • Excellent problem-solving abilities and a curious mindset.
  • Strong communication skills for remote collaboration.
Benefits
  • Highly competitive graduate salary with performance incentives.
  • Fully remote work arrangement with flexible hours.
  • Access to cutting-edge tools and technologies.
  • Opportunities for continuous learning and professional development.
  • Collaborative and innovative team culture, regardless of location.
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