Data Science Internships give students and graduates hands-on experience in data analysis, machine learning, and statistical modeling. Tasks may include collecting data, cleaning datasets, building models, and creating reports. Remote options let you contribute to projects using tools like Python, R, or SQL from anywhere.
A remote Data Science Internship helps you strengthen technical, analytical, and problem-solving skills. It’s an excellent way to gain practical experience and prepare for careers in data science, AI, or business analytics.
Internship Details Programme Overview Anglo American’s Internship Programme is designed to empower students and recent graduates with practical, immersive experience in the mining and resources sector. Interns gain exposure to various functions—ranging from mining, geosciences, engineering, and environmental management to data science, finance, HR, and supply chain—while contributing to the company’s FutureSmart Mining™ initiatives. Key…
Company Overview The Department of Science, Technology and Innovation (DSTI) collaborates with the Council for Scientific and Industrial Research (CSIR) to advance scientific research and innovation in South Africa. Through the African Laser Centre (ALC), the DSTI–CSIR partnership offers scholarships to support postgraduate students from across Africa in laser science and applications. Scholarship Details Eligibility…
Internship Overview Program Description This Summer Scholar program places interns at the intersection of AI engineering, data infrastructure, and forward deployment. Scholars build agentic workflows, deploy AI solutions like copilots and intelligent content tools, and operationalize intelligence through scalable platforms. Participants often act as Forward Deployed Engineers: collaborating with client teams, translating business needs into…
Position Overview Role Description Capitec Bank is seeking a Machine Learning Engineer to join their Risk Management division in Stellenbosch. This role is integral to the bank’s AI strategy, focusing on developing, implementing, and supporting machine learning models that enhance decision-making processes. The engineer will collaborate closely with data scientists and decision scientists to optimize…
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