Junior Data Scientist Apprenticeship

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

About the Role

Our client, a leading analytics and business intelligence firm, is seeking bright and curious individuals to join their Junior Data Scientist Apprenticeship in Sandton, Gauteng. This is an unparalleled opportunity to immerse yourself in the world of data science, learning to extract meaningful insights from complex datasets, build predictive models, and contribute to data-driven decision-making. You will work closely with experienced data scientists, statisticians, and engineers on impactful projects. We are looking for individuals with strong quantitative skills, a passion for problem-solving, and a desire to master the tools and techniques of data science. This hybrid role offers a blend of in-office collaboration and remote work, providing a dynamic learning experience within Sandton, Gauteng.

Key Responsibilities

• Assist in collecting, cleaning, and pre-processing large datasets.


• Perform exploratory data analysis to identify trends and patterns.


• Develop and implement statistical models and machine learning algorithms.


• Visualize data and communicate findings effectively through reports and presentations.


• Collaborate with cross-functional teams to define data-driven strategies.


• Learn and apply various data mining and machine learning techniques.


• Assist in the validation and testing of analytical models.


• Stay abreast of the latest advancements in data science and AI.


• Contribute to the development of data infrastructure and pipelines.

Requirements

• A strong foundation in mathematics, statistics, and programming (preferably Python or R).


• An analytical and problem-solving mindset.


• Excellent communication skills, with the ability to explain complex concepts clearly.


• A genuine interest in data science, machine learning, and artificial intelligence.


• Familiarity with data manipulation and visualization libraries is a plus.


• Completion of Grade 12 with excellent results in Mathematics, or a relevant tertiary qualification.


• Ability to work effectively in a hybrid environment, requiring on-site presence in Sandton, Gauteng.


• Self-motivated with a strong desire to learn and grow.

Benefits

• Comprehensive training in data science methodologies, tools, and techniques.


• Mentorship from experienced data scientists and industry experts.


• Opportunity to work on real-world data challenges and impactful projects.


• Exposure to cutting-edge technologies in AI and machine learning.


• Structured career development pathway.


• Collaborative and intellectually stimulating work environment in Sandton, Gauteng.


• Competitive apprenticeship stipend.


• Potential for full-time Data Scientist role upon successful completion.