Predictive Model ML/AI Specialist

Education requirements

Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, Statistics or a related quantitative discipline.

Experience requirements

5+ years of experience in ML/AI roles, with at least 2 years in a team lead capacity overseeing end-to-end model delivery.

Telecom analytics experience strongly preferred familiarity with CDR data, subscriber lifecycle, churn modelling & CVM.

Core responsibilities

• Partner with the Commercial Director and senior stakeholders to define and prioritise the AI/ML use case roadmap aligned to commercial objectives including churn prevention, revenue uplift, customer segmentation, propensity modelling and campaign optimisation.
• Establish and enforce ML model governance frameworks covering model validation, bias assessment, explainability standards, version control and production acceptance criteria.
• Ensure ML model outputs are embedded into commercial workflows: campaign management systems, CRM platforms, BI dashboards (Power BI, Tableau), and customer-facing channels enabling real-time, insight-driven decisions.
• Ensure all AI/ML systems and data pipelines comply with applicable data protection regulations, including PDPA Tanzania, TCRA directives, and GDPR-aligned group standards

Competences

• Connects AI/ML capabilities to commercial strategy and translates ambiguity into actionable roadmaps.
• Sufficient ML/AI depth to guide architecture decisions, challenge assumptions, and quality-assure model outputs to DevOps, CI/CD practices, and product delivery models.
• Execution excellence
• Commercial Acumen

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• Partner with the Commercial Director and senior stakeholders to define and prioritise the AI/ML use case roadmap aligned to commercial objectives including churn prevention, revenue uplift, customer segmentation, propensity modelling and campaign optimisation.
• Establish and enforce ML model governance frameworks covering model validation, bias assessment, explainability standards, version control and production acceptance criteria.
• Ensure ML model outputs are embedded into commercial workflows: campaign management systems, CRM platforms, BI dashboards (Power BI, Tableau), and customer-facing channels enabling real-time, insight-driven decisions.
• Ensure all AI/ML systems and data pipelines comply with applicable data protection regulations, including PDPA Tanzania, TCRA directives, and GDPR-aligned group standards

• Connects AI/ML capabilities to commercial strategy and translates ambiguity into actionable roadmaps.
• Sufficient ML/AI depth to guide architecture decisions, challenge assumptions, and quality-assure model outputs to DevOps, CI/CD practices, and product delivery models.
• Execution excellence
• Commercial Acumen

• Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, Statistics or a related quantitative discipline.