Graduate Data Scientist
Network Finance · Western Cape
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Start free — we apply for you →What You'll Be Doing Data Exploration & Preparation
• Collect, clean, and transform large datasets from various sources. • Work with both structured and unstructured data to ensure quality, consistency, and usability. • Support the development and maintenance of data pipelines and analytical datasets. Machine Learning & Analytics
• Assist in building and testing machine learning models. • Contribute to feature engineering and model improvement initiatives. • Support the implementation of anomaly detection and predictive analytics solutions. • Evaluate model performance and document key findings. Reporting & Visualisation
• Create interactive dashboards and reports using Power BI. • Translate complex analyses into clear, actionable business insights. • Present findings to both technical and non-technical stakeholders. Collaboration & Innovation
• Partner with analysts, engineers, and business teams to understand data requirements. • Contribute to automation and process improvement projects. • Help develop solutions that improve operational efficiency and decision-making. Continuous Learning
- Stay up to date with emerging tools, technologies, and industry trends.
- Continuously explore new approaches to analytics and machine learning.
What We're Looking For Qualifications
- Bachelor's degree in:
- Data Science
- Statistics
- Computer Science
- Mathematics
- Economics
- Finance
- Or a related quantitative field
Recent graduates and candidates with up to 2 years' experience are encouraged to apply. Technical Skills
• Working knowledge of Python (Pandas, Scikit-learn, Matplotlib or similar libraries). • Familiarity with SQL and basic database concepts. • Experience with Power BI , Excel, or other reporting tools. • Understanding of data analysis and machine learning fundamentals. Advantageous Experience
- Exposure to Git or version control tools.
- Knowledge of cloud platforms and data engineering concepts.
- Experience with financial or transactional data.
Why Join Us?
• Work on real business problems using modern data science techniques. • Gain exposure to machine learning, financial analytics, business intelligence, and automation. • Collaborate with experienced professionals in a supportive learning environment. • Accelerate your professional growth through practical, hands-on experience. • Build a strong foundation for a long-term career in data science and analytics. Apply today and start your journey as a Data Scientist in a dynamic, data-driven environment.