Midrand: Data Scientist posted by Network Contracting

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 www.********.co.za
 
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