Data Scientist Analytics Jobs in Zambia | Lusaka Jobs
Job Description
Data Scientist Job in Lusaka, Zambia
Company: Zamtel PLC
Location: Lusaka, Zambia
Position: Data Scientist
Employment Type: Full-Time
Department: Data Analytics & Digital Innovation
Industry: Telecommunications & Technology
Reporting To: Head of Data Analytics
About the Company
Zamtel PLC is Zambia’s national telecommunications provider and one of the country’s leading technology organizations. The company delivers mobile, broadband, enterprise, and digital services while investing heavily in innovation, data-driven decision-making, and digital transformation initiatives.
Job Summary
Zamtel PLC is seeking a highly analytical and innovative Data Scientist to support business intelligence, predictive analytics, machine learning projects, customer insights, and data-driven decision-making initiatives. The successful candidate will transform complex datasets into actionable business strategies that improve operational performance and customer experience.
Professionals searching for Data Scientist jobs in Zambia, data analytics jobs in Lusaka, and machine learning jobs in Zambia will find this opportunity highly attractive.
Key Responsibilities
- Develop predictive models and machine learning solutions.
- Analyze large structured and unstructured datasets.
- Build dashboards and business intelligence reports.
- Identify trends, patterns, and business opportunities through data analysis.
- Collaborate with business teams to define analytics requirements.
- Design and maintain data pipelines and analytical workflows.
- Support customer segmentation and behavioral analysis projects.
- Develop forecasting models for business planning.
- Perform statistical analysis and hypothesis testing.
- Ensure data quality, integrity, and governance standards.
- Present analytical findings to senior stakeholders.
- Optimize existing data science models and algorithms.
- Support AI-driven innovation initiatives.
- Document methodologies and analytical processes.
Candidates interested in data science jobs in Zambia and business intelligence jobs in Lusaka are encouraged to apply.
Educational Requirements
- Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or a related discipline.
- Master’s Degree in a quantitative field is an advantage.
- Professional certifications in analytics, machine learning, or cloud technologies are desirable.
- Strong understanding of statistical modeling techniques.
Experience Requirements
- Minimum 3–6 years of experience in data science, analytics, or business intelligence.
- Experience working with large-scale datasets and predictive models.
- Strong background in statistical analysis and machine learning.
- Experience within telecommunications, technology, finance, or related sectors preferred.
Applicants looking for analytics jobs in Zambia, technology jobs in Lusaka, and AI jobs in Zambia may find this role particularly rewarding.
Core Skills & Technical Competencies
The ideal candidate should demonstrate expertise in:
- Data Science
- Machine Learning
- Predictive Analytics
- Business Intelligence
- Python Programming
- SQL Development
- Data Visualization
- Statistical Analysis
- Artificial Intelligence
- Big Data Analytics
- Data Engineering
- Forecasting Models
- Data Mining
- Cloud Computing
- Research Analytics
- Problem Solving
- Data Governance
- Algorithm Development
Salary & Benefits
Monthly Salary: ZMW 28,000 – ZMW 55,000
Additional Benefits Include:
- Annual performance incentives
- Comprehensive medical insurance
- Pension contributions
- Paid annual leave
- Professional certification sponsorship
- Hybrid work opportunities where applicable
- Employee wellness programs
- Technology allowances
- Career development pathways
Professionals searching for jobs in Zambia, jobs in Lusaka Zambia, and data science careers in Zambia often seek employers offering continuous learning and innovation-focused environments.
Training & Professional Development
Successful candidates will receive training in:
- Advanced machine learning frameworks
- Artificial intelligence applications
- Cloud analytics platforms
- Big data technologies
- Business intelligence solutions
- Leadership and stakeholder management
- Data governance frameworks
- Emerging analytics methodologies
For additional employment opportunities in Zambia, candidates may explore:
Work Environment
The Data Scientist will work within a collaborative digital innovation environment, partnering with technology, finance, marketing, operations, and executive leadership teams to develop impactful data-driven solutions.
Candidates interested in data analyst jobs in Lusaka, technology jobs in Ndola, AI engineer jobs in Zambia, and business intelligence careers in Zambia may find this role especially beneficial for long-term growth.
Regional Career Resources
Professionals interested in broader East African technology opportunities may also review:
Many candidates searching for Data Scientist jobs in Kenya, machine learning jobs in East Africa, and technology careers in Africa use such platforms to identify emerging opportunities.
Additional regional vacancies can be explored through:
data scientist jobs in Tanzania
Professionals seeking opportunities across the region may also visit:
Preferred Candidate Profile
The successful candidate should possess:
- Strong analytical and critical-thinking abilities.
- Excellent communication and presentation skills.
- Ability to explain complex data concepts to non-technical stakeholders.
- Passion for innovation and emerging technologies.
- Strong attention to detail and accuracy.
- Ability to manage multiple projects simultaneously.
- Commitment to continuous learning and professional growth.
Applicants searching for Data Scientist jobs in Lusaka, machine learning engineer jobs in Zambia, analytics careers in Africa, business intelligence jobs in Zambia, and technology vacancies in Lusaka Zambia are encouraged to submit their applications.
Equal Opportunity Statement
Zamtel PLC is committed to fostering an inclusive and diverse workplace. Employment decisions are based on qualifications, experience, skills, and business needs without discrimination.
