We are seeking a Data Scientist with a strong background in applied statistics, data analysis, and business intelligence to join our team. 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.

Key Responsibilities:
- 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.
Required Qualifications & Skills:
- Education: BSc Honours in Applied Statistics or a related field (Mathematics, Data Science, or Computer Science).
- Technical Skills:
o Programming & Data Analytics: Python, R, SQL, SAS, C++, Java, SSRS, SSAS, SSIS.
o Data Visualization & BI Tools: Power BI, Excel.
o Statistical & Quantitative Analysis: Machine learning, predictive modeling, data interpretation.
- Soft Skills: Strong analytical mindset, problem-solving ability, excellent communication skills, and effective time management

Preferred Experience:
- Telecommunications industry experience is a plus.
- Experience in predictive modelling and business forecasting.
- Prior exposure to data governance and monetization strategies.