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Graduate Data Scientist
Job Location:
Job Location:
Stellenbosch - South Africa
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
15 October 2026 (Yesterday)
Posted:
Application Deadline:
12 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Are you a recent graduate or early-career professional passionate about turning data into meaningful insights Were looking for a Graduate Data Scientist to join a growing analytics team that supports data-driven decision-making within the financial services sector.
This is an exciting opportunity to work with real-world datasets build machine learning models develop dashboards and solve complex business challenges such as fraud detection customer retention portfolio optimization and process automation.
If youre eager to learn thrive on problem-solving and want to apply your technical skills in a fast-paced professional environment wed love to hear from you.
This is an exciting opportunity to work with real-world datasets build machine learning models develop dashboards and solve complex business challenges such as fraud detection customer retention portfolio optimization and process automation.
If youre eager to learn thrive on problem-solving and want to apply your technical skills in a fast-paced professional environment wed love to hear from you.
What Youll Be Doing
Data Exploration & Preparation
What Were Looking For
Qualifications
Technical Skills
Why Join Us
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.
- 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.
- 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.
- 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.
- Stay up to date with emerging tools technologies and industry trends.
- Continuously explore new approaches to analytics and machine learning.
What Were Looking For
Qualifications
- Bachelors degree in:
- Data Science
- Statistics
- Computer Science
- Mathematics
- Economics
- Finance
- Or a related quantitative field
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.
- 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.
Required Experience:
IC
About Company
Network Recruitment specializes in talent solution services in the fields of IT, Finance, Engineering & Supply Chain. Visit our website for more info.
