Data Scientist (Business Intelligence)

Recruiter:

MECS Africa

Job Ref:

JHB012659/MK

Date posted:

Tuesday, August 18, 2026

Location:

Johannesburg, South Africa

SUMMARY:
Our client is a well-established South African organisation with a significant national footprint and a strong focus on technology, data and innovation. The business operates in a fast-paced, data-rich environment where advanced analytics and intelligent solutions play an important role in improving operational performance and customer outcomes.

We are looking for a talented Data Scientist to join the team and turn complex data into meaningful, scalable business solutions. Position based in the East Rand.

POSITION INFO:
This is an exciting opportunity for a data-driven professional who enjoys combining machine learning, statistical modelling, data engineering and storytelling to solve real-world business challenges. You will work with large and complex datasets, develop predictive models, engineer meaningful features and translate analytical findings into clear, actionable insights for business stakeholders. Duties: Develop and implement machine learning models to solve business problems Perform statistical analysis and identify trends and patterns Design and implement effective feature engineering approaches Work with data warehouses and multiple data sources Build, test, validate and refine predictive models Analyse model performance and continuously improve solutions Communicate complex analytical findings through compelling data storytelling Partner with business and technical stakeholders to understand requirements and deliver data-driven solutions Key Technical Skills Required Machine Learning Python and\/or R Data Warehousing Statistical Modelling Feature Engineering Model Development and Validation Predictive Analytics Data Analysis and Transformation Data Storytelling and Visualisation Working with large and complex datasets Translating data insights into business recommendations Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology or a related quantitative field A postgraduate qualification in Data Science, Statistics, Machine Learning or a related discipline would be advantageous Relevant professional certifications in data science, machine learning or cloud technologies would be beneficial

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