Position: Data Scientist (Digital)

Level: MTN Level 3

Function: Digital

Department: Digital Analytics & Monetization

Location: Accra

Reports to: Senior Manager, Digital Analytics & Monetization

Job Summary

To drive digital revenue growth and customer value by developing and operationalizing advanced machine learning models, customer segmentation frameworks, and predictive analytics that power personalization, retention, monetization, and strategic decision-making across MTN’s digital platforms

Job Context

• Dynamic and highly competitive telecommunication & ICT industry
• Multi regulated environment
• Environmental, social and governance prioritized
• Evolving Telco with a focus on digital
• Partnerships at the core of industry plans
• Regionalization structure implication
• Performance driven environment
• Developing sophisticated client base
• Diverse cultural environment
• Active media engagement & brand reputation

Key Tasks

• Design, develop, and deploy machine learning models to drive revenue-generating initiatives such as churn prediction, cross-sell/upsell recommendations, propensity modelling, and customer win-back strategies.

• Build advanced customer segmentation frameworks to support targeted advertising, monetization via DataCo, and digital product personalization.

• Develop predictive models to forecast user behaviour, spending patterns, and engagement trends, enabling proactive decision-making across the Digital Division.

• Create prescriptive algorithms that recommend optimal interventions to improve retention, ARPU, conversion, and customer lifetime value.

• Build and operationalize recommendation engines and personalization models to enhance customer interactions across MTN’s Digital products, services and platforms.

• Analyse in-app behaviour and interaction patterns to deliver insights that drive UX enhancements and feature prioritization.

• Design and execute A/B and multivariate tests, evaluating impact on engagement, conversion, and monetization.

• Translate experiment outcomes into actionable product improvements and commercial strategies.

• Work closely with Digital Services, Platforms, Mobile Advertising, and Channel teams to operationalize AI models into customer journeys and product experiences.

• Partner with IT, Data Engineering, and DataCo to ensure scalable deployment of models in production environments.

• Develop models to support DataCo’s monetization strategy, including behavioral targeting, advertising segment scoring, and look-alike audience generation.

Education

• A First Degree in Computer Science, Data Science or a business field .of study
• Google Analytics and SQL certification a must
• Experienced user of Python (Scikit-learn, TensorFlow, PyTorch), BigQuery ML, Google Vertex AI, AWS/GCP AI services
• Experience 5 years related work experience in a digital organization or the digital/analytics department of an organization, with at least 3 years in a supervisory position.
• Proficient in SQL for extracting and manipulating large datasets
• Good working experience with Excel, Power BI, and Python for analysis and reporting automation
• Understanding of statistical analysis, A/B testing, and funnel metrics
• Experience in data cleaning, feature engineering, and data modeling to support machine learning use cases
• Familiarity with digital KPIs such as subscriber growth, engagement, ARPU, churn, and revenue forecasting

Professional/Technical Competencies:

• Strong knowledge of all main analytics tools and techniques
• Business Performance Management
• Planning and Budgeting
• Stakeholder Relations Management
• Marketing/Digital Marketing
• Understanding of the Digital Ecosystem
• Proficient in Microsoft Office Suite (Excel, PowerPoint, etc.)
• Knowledge and ability to analyze KPIs and provide detailed reports

Must live the MTN Values of

• Lead with Care, Collaborate with Agility, Serve with Respect, Can Do with Integrity, Act with Inclusion

Must exhibit the MTN Vital Behaviors of

• Complete Candor, Complete Accountability, Active Collaboration & Get it done.

• Qualified applicants should indicate Vacancy Ref no: MTNGH-DIG-005-2026 as the email subject and ensure that CVs are saved in applicants’ names. Applications without the subject and CVs saved in their names will automatically be disqualified.
• Interested and qualified applicants should send their Curriculum Vitae by 6th February 2026 to: [email protected]
• Only shortlisted applicants will be contacted.