Graduate Data Scientist
Full-time
Network Finance
Key Duties and Responsibilities:
Data Exploration & Preparation
Qualifications
Technical Skills
I also specialise in recruiting in the following:
Software Development
Data Engineer
Data Analyst
Infrastructure
Architecture
... and more!
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions. For more information contact:
Evandria Rademeyer
Researcher
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.
Qualifications
- Bachelor's 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 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.
- 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.
I also specialise in recruiting in the following:
Software Development
Data Engineer
Data Analyst
Infrastructure
Architecture
... and more!
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions. For more information contact:
Evandria Rademeyer
Researcher
Vacancy posted 9 hours ago
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