Metropolitan is one of the oldest financial services brands in South Africa. With a 125-year legacy of serving the communities in which it operates, Metropolitan represents true empowerment in serving Africa's people through affordable financial solutions that create financial growth and security. Metropolitan operates in South Africa, but the brand is also present in 7 African countries including, Namibia, Botswana, Kenya, Ghana and Lesotho. Metropolitan provides financial wellness solutions that meet the needs of low-income clients, including funeral insurance, health, savings, hospital cash-back cover, retirement solutions and life insurance. www.metropolitan.co.za
Disclaimer
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Role Purpose
Are you a recent Master's graduate with a passion for data, analytics, and solving real-world problems using machine learning and statistical methods? We're offering an exciting opportunity to kick-start your career as a Data Scientist Intern in a collaborative, hands-on environment where you can learn, grow, and contribute meaningfully.
Requirements
Master's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, or a related field.
Strong foundation in Python (or R), SQL, and data analysis techniques.
Basic understanding of machine learning concepts and tools
No prior work experience required - just a passion for data and a willingness to learn!
Curious, detail-oriented, and a good communicator
Duties & Responsibilities
Collaborate closely with experienced data scientists and engineers on real business problems.
Clean, transform, and analyse large datasets to extract insights.
Build predictive models and evaluate their performance.
Contribute to the development of data pipelines supporting data-driven decision-making.
Communicate your findings in clear, compelling ways to both technical and non-technical stakeholders.
What you will gain:
Dedicated mentorship from seasoned data science professionals.
Valuable experience working on meaningful projects with real-world business impact.
Exposure to modern tools and practices in the data science field.
Competencies
Attention to Detail
Energetic and Self-Motivated
Insatiable Curiosity
Innovative and Brave
Collaborate across Boundaries
* Diversity and Inclusiveness
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