- Build, train, and validate predictive and statistical models.
- Conduct exploratory data analysis (EDA) to identify patterns, trends, and insights.
- Support the development and refinement of machine learning algorithms.
- Assist in collecting, cleaning, and transforming structured and unstructured datasets.
- Ensure data integrity, consistency, and accessibility across systems.
- Work closely with data engineers, analysts, and business stakeholders to ensure project success.
- Translate business requirements into analytical tasks and actionable insights.
- Develop visualizations and dashboards to communicate findings effectively.
- Present analytical insights and recommendations to technical and non-technical audiences.
- Explore and apply new data science methodologies, tools, and frameworks.
- Develop proficiency in data visualization tools and emerging technologies.
Requirements
- NQF Level 6 or higher tertiary qualification in Information and Communication Technology (ICT) or related field (including Information Systems).
- Relevant Cloud certification (e.g., Azure, AWS, or Google Cloud).
- Minimum of 3 years’ experience in a Data Scientist role.
- Strong understanding of statistics, data modelling, and machine learning concepts.
- Proficiency in Python, R, or similar programming languages.
- Experience with data visualization tools (Power BI, Tableau, or equivalent).
- Knowledge of data management and cloud-based analytics platforms.
Desired Skills:
- Python
- R programming Languages
- Power BI
- Tableau
- Algorithm
Desired Qualification Level:
- Diploma
About The Employer: