Description:
A global financial services organisation whose core purpose is to seek out and invest in exceptional individuals and whose values align and pride themselves with attracting intellectual leaders, seeks a highly skilled and forward-thinking Digital AI Data Scientist to drive the development and implementation of cutting-edge AI/ML solutions that fuel digital transformation across the organization. This role sits at the intersection of data science, artificial intelligence, and digital strategydesigned for a proactive innovator with a passion for solving complex business problems through data-driven intelligence.
Responsibilities:
Design, build, and deploy scalable AI/ML models to solve business challenges across digital platforms. Collaborate with cross-functional teams (Product, Engineering, Marketing, Operations) to translate digital transformation goals into AI-powered solutions. Leverage NLP, computer vision, generative AI, and predictive modeling techniques where applicable. Work closely with data engineering teams to access and preprocess large-scale structured and unstructured data. Communicate insights and model outcomes to stakeholders with clear storytelling and visualization tools. Develop and maintain automated systems for continuous learning, monitoring, and model performance optimization. Contribute to the strategic AI roadmap, exploring emerging technologies like GenAI, LLMs, AutoML, and MLOps frameworks. Ensure ethical use of AI and adherence to data governance, privacy, and compliance standards.Qualifications & Experience:
Masters or Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 5+ years of hands-on experience in AI/ML model development and deployment. Proficient in Python, R, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with cloud platforms (AWS, Azure, GCP) and AI/ML services (SageMaker, Vertex AI, etc.) Strong understanding of digital ecosystems, including web/app analytics, customer journey mapping, and digital KPIs. Familiarity with MLOps tools Experience with GenAI/LLMs and prompt engineering is a plus. Reference Number for this position is NG60436 which is a contract Hybrid position offering a contract rate of R650k to R850k per annum