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 perks

- Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies

📌 Data Scientist (Ajmer)
🏢 https://www.techrepo.co.za
📍 Ajmer