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Data Scientist (Business Intelligence) at MECS (Pty) Ltd

MECS (Pty) Ltd
August 24, 2026
Full-time
On-site

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.
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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