Senior Data Scientist

Vodafone Global Enterprise; Johannesburg; On-site; ZAR 800,000 - 1,000,000; Full time

Job summary

A leading telecommunications company is looking for a Senior Data Scientist in Johannesburg. The candidate will create AI products, develop predictive models, and mentor fellow data scientists. A Bachelor's or Master's degree in quantitative fields and 4-6 years of experience in Big Data is required. The role offers competitive benefits and opportunities to work in a dynamic environment.

Benefits

Enticing incentive programs

Retirement funds and medical aid

Cell phone and data benefits

Qualifications

• Minimum 4-6 years relevant experience in Big Data & Data Science.
• Experience mentoring/coaching data scientists.
• Knowledge of MLOps concepts required.

Responsibilities

• Create AI products for actionable business insight.
• Develop predictive models with large datasets.
• Work with Big Data Engineering team to automate AI workloads.
• Mentor data scientists in the team.

Skills

Data manipulation

Programming in Python

Machine learning frameworks

Data visualization tools

Big Data analytics

Education

Bachelor’s or Master’s Degree in quantitative fields

Tools

SQL

PySpark

Docker

Tableau

Job description

Job title : Senior Data Scientist

Job Location : Gauteng, Johannesburg Deadline : August 15, 2025 Quick Recommended Links

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Your responsibilities will include :

Create AI products that provide actionable business insight to Vodacom and its stakeholder

Developing predictive 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 business decision support team to provide Big Data insights

Mentorship to data scientists in the team

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)

Core competencies, knowledge, and experience :

A minimum of 4-6 years relevant experience in Big Data & Data Science.

Experiencing working with and mentoring / coaching data scientists in training

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.

Experience working with teams and coaching data scientists

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 : 15 August 2025

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