Data Scientist
Vodacom
Data Scientist Data Scientist Midrand 2 Sept 2026
Salary not specified - Full-time
Job Description
About the Role
The number 1 Top Employer in South Africa. Certified by the Top Employer Institute 2026.
Responsibilities
- 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.
- 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 2-3 years relevant experience in Big Data & Data Science.
- 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. H2O, 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.
- 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. Tableau, Qlik, D3, Apache Superset, 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.
- 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
