Junior Data Scientist Apprentice - Hybrid Mentorship

Placements24; Sandton; Hybrid; ZAR 89,000 - 134,000; Full time

Benefits offered by this job

Comprehensive training

Mentorship from data scientists

Real-world data challenges

Exposure to AI/ML technologies

Structured career development

Job summary

Placements24 in Sandton, Gauteng, invites aspiring data scientists to join a Junior Data Scientist Apprenticeship with a hybrid work model. You will learn to extract insights, build predictive models, and contribute to data-driven decisions under guidance from experienced data scientists.

This apprenticeship offers hands-on projects, collaboration with analysts and engineers, and a clear pathway to a full-time data science role upon successful completion.

Qualifications

• Strong foundation in mathematics and statistics.
• Programming experience in Python or R.
• Analytical mindset and problem-solving.
• Excellent communication and teamwork.
• Interest in data science, AI, and ML.

Responsibilities

• Assist in collecting, cleaning, and preprocessing large datasets.
• Perform exploratory data analysis to identify trends.
• Develop and evaluate statistical models and ML algorithms.
• Visualize findings and present reports to stakeholders.
• Collaborate with cross-functional teams on data-driven strategies.
• Learn data mining techniques and validate models.
• Support development of data pipelines and infrastructure.
• Stay updated on AI and ML advancements.

Skills

Mathematics

Statistics

Programming (Python/R)

Education

Grade 12 with Mathematics, or relevant tertiary qualification

Job description

Placements24 in Sandton, Gauteng, invites aspiring data scientists to join a Junior Data Scientist Apprenticeship with a hybrid work model. You will learn to extract insights, build predictive models, and contribute to data-driven decisions under guidance from experienced data scientists.

This apprenticeship offers hands-on projects, collaboration with analysts and engineers, and a clear pathway to a full-time data science role upon successful completion.