About this role
We’re looking for a strategic, relationship‑driven Data Scientist who will develop, validate, and deploy advanced analytical models that drive data‑driven decision‑makin. If you thrive at the intersection of strategy, people, and execution — this role is for you. We have a permanent role based in Johannesburg. What You’ll Drive - Design, develop, and maintain statistical, machine learning, and predictive models across regression, classification, clustering, time series, and anomaly detection - Translate business challenges into analytical frameworks with measurable outcomes - Perform feature engineering, model selection, and hyperparameter optimisation - Extract, clean, and transform structured and semi‑structured data from multiple sources - Conduct exploratory data analysis (EDA) toidentify trends, patterns, and anomalies - Assess data quality and work with data engineering teams to resolve data issues - Package and deploy models into production environments (batch or realtime) - Monitor model performance, drift, and stability over time - Maintain model documentation, versioning, and retraining strategies - Partner with stakeholders to understand requirements and deliver insights - Communicate findings, assumptions, limitations, and recommendations clearly What We’re Looking For - Bachelor’s in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field - Postgraduate (Master’s) advantageous Certifications in data science, machine learning, or cloud platforms beneficial - Certifications such as CAP, Google Data Analytics, or Microsoft Data Analyst Associate are advantageous - Python proficiency (pandas, NumPy, scikit‑learn, statsmodels) - SQL for extraction and analysis - Experience with large datasets and data warehouses - Strong understanding of machine learning and statistical modelling - Knowledge of evaluation metrics and validation techniques - Experience with data visualisation tools like Power BI, Tableau, matplotlib, seaborn - Understanding of statistics, feature engineering, model interpretability, bias/variance - Cloud platforms: Azure or AWS For more information please call us on 0100300127 NB: Should you not hear from us within 6 weeks, please consider your application unsuccessful.