Senior Data Scientist - Machine Learning
- Johannesburg, Gauteng
- Permanent
- Full-time
Are you passionate about leveraging data to solve complex problems and drive innovation? A leading organisation is seeking a highly skilled Data Scientist to join their Data Science and Analytics team. This is an exciting opportunity to develop cutting-edge predictive and prescriptive models that will inform strategic decision-making and deliver measurable business value across key areas.POSITION INFO:
Senior Data ScientistAbout the Role:
You’ll work across the full data science lifecycle—from understanding business needs and refining problem statements to data preparation, model development, testing, deployment, and performance monitoring. Your work will support data-led strategies, operational efficiency, and intelligent decision-making through automation and advanced analytics.Key Responsibilities:
- Develop and deploy predictive modelling and machine learning solutions.
- Collaborate with stakeholders to define business challenges and identify analytical opportunities.
- Conduct data cleaning, transformation, feature
- Translate data science solutions into practical business applications.
- Create impactful visualisations and reports to communicate insights to both technical and non-technical stakeholders.
- Monitor and refine models to ensure performance and business relevance over time.
- Minimum:
- Honours, Master’s, or PhD in a quantitative discipline (e.g. Actuarial Science, Mathematics, Computer Science, Engineering, and Statistics).
- 5–6 years of hands-on experience in data science and analytics roles.
- Strong Python and SQL proficiency, including libraries such as NumPy, Pandas, SciPy, Matplotlib.
- Experience working with Jupyter Notebooks and in Agile development environments.
- Proven ability to operationalise machine learning models at scale.
- Preferred:
- Familiarity with cloud platforms (e.g. Azure and AWS), Spark, and big data tools.
- Professional certifications in data science and analytics technologies.
- Experience with data visualisation tools such as Power BI, Tableau, or Kibana.
- Key Competencies:
- Advanced analytical and problem-solving skills.
- Strong communication skills, with the ability to explain technical concepts to diverse audiences.
- Business acumen and the ability to align data solutions with strategic objectives.
- Initiative, adaptability, and a strong sense of accountability.
- Ability to work independently as well as collaboratively within cross-functional teams.
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