Please give us some details about the role you want to fill and let us know why you think our client might be the perfect candidate for you.
What happens next?
Our Job Search Specialist Mark Beltran will facilitate the next steps:
Mark will let our client know that you have shown an interest in their professional skills.
You will receive a full job application from our client and might want to offer them a formal job interview if you see the right potential in this candidate.
If you decide that you would like to offer the role to our client, we will help to make the next steps as smooth as possible.
You will be supported by our Licensed Immigration Advisers, who will take care of all visa related aspects of the process of offering our client a job.
Offering a job to our client will be straight forward.
Senior Data Scientist, AI/ML Team Lead, and Software Engineer with 15+ years of experience building enterprise-grade ML systems and full-stack data applications.
Proven leader of a six-person AI/data science team, with hands-on delivery across Python, cloud infrastructure (AWS, Azure), and GenAI/LLM solutions.
Track record of translating complex data science into measurable institutional impact, from predictive models that reduced student dropout to national-scale data infrastructure.
• Programming & Development: Python (Advanced), SQL (Advanced), R, Bash, JavaScript, Flask/FastAPI, Docker, CI/CD, Git
• AI & Machine Learning: LLMs/GenAI (GPT-4, LangChain, RAG), AI Agents, NLP, Scikit-learn, XGBoost, TensorFlow
• Cloud & Data Engineering: AWS (SageMaker, Lambda, Bedrock), Azure ML, Apache Airflow, dbt, BigQuery, Redshift
• Software Engineering: Docker, docker-compose, FastAPI (Python 3.12, Pydantic v2, SQLAlchemy 2.x,Alembic), Next.js (TypeScript, Tailwind CSS), Flask REST APIs, GraphQL, JWT Authentication & Role-Based Access Control (RBAC), PostgreSQL, GitHub Actions CI/CD, MLflow, Kubeflow, Kubernetes
• Business Intelligence & Governance: Power BI (Advanced DAX), Tableau, DAMA-DMBOK, GDPR/POPIA, AI Ethics
• Leadership: Team management (team of six), stakeholder engagement, executive reporting, mentoring
AI Team Lead & Special Projects Lead, University of the Witwatersrand, Johannesburg (2012-Present)
• Lead a team of six AI Solutions Engineers and Data Scientists delivering production AI systems and analytics platforms.
• Partner with business leaders to unlock value through trusted insights, reporting and predictive analytics.
• Built and deployed production ML models (XGBoost, Random Forest, Logistic Regression) predicting student persistence and success, directly reducing dropout rates.
• Architected a multi-agent LLM/RAG system (GPT-4, LangChain) automating annual student survey analysis and reporting using modern LLM and agent orchestration frameworks.
• Leading development of a real tracking and monitoring platform integrating 15+ institutional data sources.
• Developed scalable AI agents automating financial reconciliation and invoice capture, cutting manual processing time significantly.
• Integrated AI capabilities into existing .NET services, REST APIs and enterprise platforms.
• Authored the institutional AI Strategy and Governance framework, formally adopted for responsible AI deployment.
• Developed the Data and AI Literacy programmes for upskilling and capacity development.
• Driving the adoption of AI, advanced analytics and data science to deliver measurable business outcomes
Business Intelligence Specialist, University of the Witwatersrand, Johannesburg (2009-2012)
• Developed executive modern dashboards and analytical reports (Power BI, Tableau, SAP Business Objects) used by 300+ staff.
• Designed reporting frameworks for statutory (HEMIS) and institutional reporting.
• Led data quality audits across Finance, Student, and Procurement data, resolving 200+ integrity issues.
• PhD, Computer Science (Predictive Modelling & AI), in progress
• MSc, Actuarial Science and Mathematical Statistics, University of the Witwatersrand (2009-2011)
• BSc Honours, Mathematics, Midlands State University, Zimbabwe (2000-2005)
• Getting Started with Amazon QuickSight, AWS, 2022
• AWS Academy Educator Certificate, AWS, 2021
• Machine Learning Pipelines with Azure ML Studio, Coursera, 2020
• Introduction to Machine Learning, Coursera, 2020
• Fast Track Leadership Programme, Wits Business School, 2020
• SAAIR Certificate of Appreciation for Capacity Building Workshops, 2019
Publications
• Mamvura, I., Tshuma, L., Ndlovu, N.S., and Theledi, K.A. (2026). African Journal of Teacher Education, 15(1), 17-36, special issue on digital culture in African universities.
• Mamvura, I. et al. (2025). Book chapter, Higher Education Quality and Disruption (edited volume).
Conference Presentations (Selected)
• SAAIR 2025, University of Venda: Workshop presenter, Agentic AI and Autonomous Agents in Higher Education; co-author of peer-reviewed paper on male student success; invited panellist on AI for institutional excellence.
• SAAIR 2024, 31st Annual Conference: Workshop presenter, Navigating Ethical and Privacy Concerns: The Role of AI in Institutional Research.
• SAAIR 2023 Learner Analytics Bootcamp, UCT: Facilitated workshop on learning analytics and visualisation for 40+ delegates from South Africa, Namibia, and Eswatini.
• eResearch Africa 2019, UCT: Sole presenter, full-day workshop on AI and Machine Learning for Data Science Development (selective, limited to 20 researchers).
• SAAIR 2018, 25th Annual Conference: Presented two papers on machine learning in student success, among the earliest ML applications in African higher education.
• Chess
• Tennis
• Coding
Available on request
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