ey Requirements 8+ years' experience in Data Science, Advanced Analytics, Machine Learning, or a related field. Strong hands-on experience with: AWS (S3, Redshift, SageMaker, Lambda, Glue, or related services) Snowflake Python SQL Power BI Machine Learning model development and deployment Experience building and deploying predictive, classification, clustering, and forecasting models. Strong understanding of data engineering concepts, data pipelines, and large-scale data processing. Proven experience working with structured and unstructured datasets. Experience translating complex business problems into practical analytical solutions. Strong stakeholder engagement and business partnering skills. Responsibilities Design, develop, and deploy machine learning models to solve complex business challenges. Build scalable data science solutions leveraging AWS and Snowflake platforms. Develop and maintain advanced analytics, predictive models, and forecasting solutions. Create impactful dashboards and visualisations using Power BI . Perform data exploration, feature engineering, model tuning, and performance optimisation. Collaborate with cross-functional teams including Data Engineering, Product, and Business stakeholders. Ensure best practices around model governance, data quality, and documentation. Mentor junior team members and contribute to the overall data strategy. Preferred Qualifications Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. Postgraduate qualification advantageous. AWS certifications highly beneficial. Experience with MLOps and model deployment frameworks advantageous. Exposure to AI, Generative AI, or NLP solutions would be beneficial. Location Cape Town (Hybrid/Onsite)