Website Yas
Yas
Predictive Model ML/AI Specialist
New vacancy
Let’s grow together, become our 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
“We are committed to equal employment opportunities and unbiased treatment of all individuals in all employment practices”.
Only shortlisted applicants will be contacted”.
If this description corresponds to you, grow with us by applying before June 26, 2026
How to Apply:
To submit your application, please follow the link provided below.
To apply for this job please visit axian-group.csod.com.