Job Description

Exhilarating Opportunity...
Job & Company Description:
We are seeking a Data Scientist with a strong background in applied statistics, data analysis, and business intelligence to join a tech savvy team within a telecommunications company on a 6 months contract basis. The ideal candidate will leverage statistical models, machine learning techniques, and data visualization tools to drive data-driven decision-making within our organization.
With a proven track record in telecommunications and various industries, the candidate will extract insights, develop analytical solutions, and enhance business performance.
The key responsibilities for this role will include:

• Collect, clean, verify, and manage large datasets from multiple sources.
• Apply statistical models and machine learning algorithms to generate actionable insights.
• Design and build analytical solutions to support business needs.
• Develop and maintain dashboards and reports using Power BI and Excel.
• Engage with stakeholders to define KPIs and reporting requirements.
• Enhance data governance, data monetization, and machine learning processes.
• Present data-driven insights and recommendations to business leaders.
• Work closely with data stewards and technical teams to optimize data access and structures.
• Support business decision-making by analyzing trends in financial and operational data.

As you will be required to hit the ground running extensive experience is essential.
The requirements:
Qualification:

• BSc Honours in Applied Statistics or a related field (Mathematics, Data Science, or Computer Science)

Experience:

• 3+ years experience in a similar role
• Telecommunications industry experience is a plus.
• Experience in predictive modelling and business forecasting.
• Prior exposure to data governance and monetization strategies

Technical Skills Required:

• Programming & Data Analytics: Python, R, SQL, SAS, C++, Java, SSRS, SSAS, SSIS.
• Data Visualization & BI Tools: Power BI, Excel.
• Statistical & Quantitative Analysis: Machine learning, predictive modeling, data interpretation

If you are interested in this opportunity, please apply directly. For more finance jobs, please visit
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:
Riah Mthimunye
Talent Specialist
For more information please contact:
Riah Mthimunye

Skills Required