New Employment Opportunity at MTN Ghana

February 4, 2026 11:15 am

New Employment Opportunity at MTN Ghana

MTN Ghana, a leader in the dynamic telecommunications and ICT industry, is seeking a forward-thinking Digital Data Scientist to join our innovative team. This pivotal role is designed for an expert who transforms complex data into actionable intelligence that fuels growth. Your primary mission is to drive digital revenue and maximize customer value by building and deploying advanced machine learning models, predictive analytics, and sophisticated segmentation frameworks. Ultimately, you will power critical initiatives in personalization, customer retention, and strategic monetization across all MTN digital platforms.

We are looking for a strategic technical professional who thrives in a fast-paced, performance-driven environment. If you are passionate about leveraging data science to solve business challenges and shape the future of digital services, this position offers an unparalleled opportunity to make a significant impact within an evolving telco giant.

Core Responsibilities

In this role, you will bridge advanced analytics with commercial execution, turning data insights into tangible business outcomes.

Develop Revenue-Generating Models: Design, build, and operationalize machine learning models that directly impact revenue through churn prediction, cross-sell recommendations, propensity modelling, and targeted win-back strategies.
Build Advanced Customer Segmentation: Create and manage sophisticated customer segmentation frameworks to enable precise targeted advertising, support DataCo monetization, and deliver hyper-personalized digital product experiences.
Forecast User Behavior: Develop predictive models to accurately forecast user engagement trends, spending patterns, and behavioral shifts, thereby enabling proactive and data-driven decision-making across the Digital Division.
Design Prescriptive Algorithms: Engineer prescriptive algorithms that recommend optimal customer interventions to systematically improve key metrics, including retention rates, average revenue per user, conversion, and overall customer lifetime value.
Power Personalization Engines: Build and implement robust recommendation engines and personalization models that enhance every customer interaction across MTN’s suite of digital products, services, and platforms.
Analyze User Experience Data: Analyze in-app behavior and interaction patterns to generate deep insights that directly inform user experience enhancements and guide product feature prioritization.
Lead Experimentation: Design, execute, and analyze A/B tests and multivariate experiments, meticulously evaluating their impact on user engagement, conversion funnels, and monetization.
Foster Cross-Functional Collaboration: Work closely with Digital Services, Platforms, Mobile Advertising, and Channel teams to seamlessly integrate AI models into live customer journeys and product experiences.
Ensure Scalable Deployment: Partner directly with IT, Data Engineering, and DataCo teams to guarantee the scalable and efficient deployment of models into production environments
Support Data Monetization: Develop specialized models that advance DataCo’s commercial strategy, including behavioral targeting algorithms, advertising segment scoring, and look-alike audience generation.

Required Qualifications and Professional Experience:

To excel in this complex role, you will need a strong educational foundation and proven, relevant experience.

You hold a First Degree in Computer Science, Data Science, Statistics, or a related quantitative or business field.
You possess Google Analytics and SQL certifications, which are essential for this role.
You have at least five years of relevant work experience within a digital-first organization or a dedicated digital analytics department, including three years in a supervisory or technical leadership capacity.
You are an experienced practitioner with Python libraries like Scikit-learn, TensorFlow, or PyTorch, and you are proficient with cloud AI services such as Google Vertex AI or AWS SageMaker.
You demonstrate advanced proficiency in SQL for querying and manipulating large datasets, alongside strong skills in Excel and Power BI for analysis and reporting automation.
You possess a deep understanding of statistical analysis, A/B testing methodology, and core digital funnel metrics.
You have hands-on experience with the full data science pipeline, including data cleaning, feature engineering, and model building to support machine learning use cases.
You are thoroughly familiar with critical digital KPIs such as subscriber growth, engagement, ARPU, churn, and revenue forecasting.

Why Build Your Career as a Data Scientist at MTN?

This role places you at the heart of MTN’s digital transformation. You will tackle complex challenges, work with vast datasets, and see your models directly influence commercial strategy and millions of customer experiences. Furthermore, you will join a respected industry leader that prioritizes innovation and offers substantial opportunities for professional growth and regional exposure.

How to Apply for this Employment Opportunity at MTN Ghana

If you are a data science professional ready to leverage your skills in a challenging and rewarding digital ecosystem, we encourage you to apply.

Please submit your comprehensive application, including a detailed CV and a cover letter highlighting your most relevant model deployment achievements to mtnghanarecruitment@mtn.com.

Ensure your application clearly demonstrates your expertise in the required technical competencies and your understanding of the telecom digital landscape. We welcome applicants who are ready to contribute to a diverse cultural environment and drive performance in a multi-regulated industry. Join MTN and use data to help shape the future of connectivity.

Closing Date: 20 February 2026

NOTE:

Please be aware that employers typically receive a high volume of applications for each position and will only shortlist the most qualified candidates. Please note that NewsNowGh.com is not involved in the employer’s recruitment decisions and does not guarantee that applicants will be shortlisted or selected for any role.