Data Scientist at Vodafone Global Enterprise

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 2–3 years of relevant experience in Big Data, Data Science, Advanced Analytics, or Business Analytics, with proven ability to analyse large datasets, identify trends and opportunities, and communicate actionable insights to business stakeholders.

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 or interest in working with 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).
• Knowledge of MLOps and LLMOps concepts and deployment of models through batch and real-time architectures.
• Hands-on experience or knowledge of cloud-based data science and machine learning platforms, preferably AWS, including services such as S3, Athena, Glue, SageMaker, Lambda, Step Functions, DynamoDB.
• 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.