Digital AI Data Scientist

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 strategy—designed 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 and experience:

• Master’s 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 permanent, Hybrid position offering a salary of R550k to R850k per annum negotiable on experience and ability. Contact Nokuthula on az.oc.egrem-e@galuhtukon or call her on 011 463 3633 to discuss this and other opportunities.

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Posted on 10 Jun 14:03, Closing date 9 Aug