Your responsibilities will include:
- Create AI/IA products that provide new services to Vodacom and its stakeholders.
- Developing advanced analytical models with large and varied datasets, working with a community of colleagues across Advanced Analytics, technology, and data and customer functions.
- Contributing to the wider community to enable AI capability across Vodafone globally.
- Development of machine learning models for various areas of the business on the Big Data Platforms.
- Machine Learning model performance tracking and reporting. e.g. Use data visualizations to engage audience in a compelling way, enabling effective storytelling.
- Work with lead and principal data scientists to deliver key strategic initiatives to meet the needs of business customers.
- Works in partnership with Big Data Engineering team to automate, integrate & productionize AI workloads.
- Work in partnership with business decision support team, to provide Big Data insights.
- Present results to technical and non- technical audiences.
The ideal candidate for this role will have:
- Bachelor’s or Master’s Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence or related fields essential.
- A minimum of 3-5 years relevant experience in Big Data & Data Science.
Core competencies, knowledge, and experience:
- Experience in GenAI and Large Language Models LLMs is a plus.
- Hands-on experience in building and optimizing recommendation systems.
- Experience in data manipulation: use of structured data tools e.g., SQL, and unstructured data platforms e.g. PySpark, NoSQL.
- Proficiency in at least one relevant programming language: Python, R, Java.
- Experience across major machine learning model frameworks e.g. scikit-learn, PyTorch, Tensorflow and techniques e.g. random forest, gradient boosting, k-means segmentation, multiple regression, factor analysis, time-series forecasting.
- Exposure to cloud native deployment of models and working with containerized technologies such as Docker and Kurbernetees.
- Knowledge of MLOps and LLMOps concepts and deployment of models through batch and real-time architectures.
- Hands-on experience with cloud-based data science and machine learning platforms, preferably AWS, including services such as S3, Athena, Glue, SageMaker, Lambda, Step Functions, DynamoDB, CloudWatch, and Lake Formation.
- Professional and/or academic experience in Big Data analytics & deployment of models and algorithms to solve real-world problems with deep statistical and machine learning modelling expertise.
- Familiarity with visualization tools e.g., Plotly, PowerBI, Opensearch, Grafana.
- Good interpersonal communication and presentation skills.
- Ability to work in a fast-paced environment.
- Analytical and expansive thinking with a strong desire to deliver and develop.
- Design & Systems Thinking in relation to AI and Machine Learning Eco Systems.
- Real-time Decisioning & Intelligence use case deployment and evaluation experience.
We make an impact by offering:
- Enticing incentive programs and competitive benefit packages
- Retirement funds, risk benefits, and medical aid benefits
- Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies
Closing date for Applications: 30 June 2026.
