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

• 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