Remote AI Data Science Intern

Placements24; Soweto; Hybrid; ZAR 78,000 - 123,000; Full time

Benefits offered by this job

Remote-friendly internship

Mentorship by industry professionals

Networking opportunities

Job summary

Placements24 is seeking a Junior Data Scientist intern to gain hands-on experience in data analysis, ML, and AI development in a remote-friendly setting. You will work with seasoned data scientists on real-world projects, focusing on data cleaning, analysis, and modeling to derive actionable insights.

The role is ideal for someone pursuing or who has recently completed a degree in a quantitative field, with foundational Python skills and a proactive attitude.

Qualifications

• Pursuing or recently completed a Bachelor's or Master's degree in a quantitative field.
• Foundational knowledge of Python and data libraries (Pandas, NumPy, Matplotlib).
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with SQL for data querying is a plus.

Responsibilities

• Assist in data collection, cleaning, and preprocessing from various sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Support the development and implementation of machine learning models under senior guidance.
• Help evaluate model performance and iterate on existing models.
• Create data visualizations and reports to communicate findings effectively.
• Collaborate with the data science team on tasks and projects.
• Learn and apply new data science techniques and tools.
• Document processes, methodologies, and findings.
• Participate in team meetings and contribute to discussions.

Skills

Python

Pandas

NumPy

Matplotlib

Data analysis

SQL

Education

Bachelor's or Master's in Data Science/CS/Statistics/Math

Tools

Pandas

NumPy

Matplotlib

SQL

Job description

Placements24 is seeking a Junior Data Scientist intern to gain hands-on experience in data analysis, ML, and AI development in a remote-friendly setting. You will work with seasoned data scientists on real-world projects, focusing on data cleaning, analysis, and modeling to derive actionable insights.

The role is ideal for someone pursuing or who has recently completed a degree in a quantitative field, with foundational Python skills and a proactive attitude.