Location
In office (South Africa)
Seniority
Junior · 2+ years exp
Employment
Full-Time
First seen by Alion on Oct 12, 2026. Network Finance scores C on the Alion truth index.
Overview
Company
Impact
Profile match
Founded in 1987, Network Finance is a specialized recruitment and talent solutions agency operating as a key division of Network Recruitment (part of ADvTECH Group). Headquartered in Johannesburg, South Africa, the company provides executive search, permanent placement, and contract staffing tailored specifically to the finance, accounting, auditing, taxation, and actuarial sectors. Through its niche industry focus and global network spanning Africa, Europe, and the Middle East, it enables corporate clients and multinational enterprises to source highly qualified financial leaders and Chartered Accountants.
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.
- 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 We're Looking For
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 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.
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