Senior Data Scientist

3 weeks ago


Johannesburg, South Africa Standard Bank Of South Africa Limited Full time

Business Segment & Location Corporate & Investment Banking – Location: ZA, GP, Johannesburg, 5 Simmonds Street Role Overview We are seeking an experienced Senior Data Scientist to lead the design, development, and deployment of advanced analytical and machine learning solutions. The ideal candidate will be responsible for solving complex business problems through data‑driven insights, predictive modelling, and AI solutions. This role requires strong expertise in statistical modelling, machine learning, and deep learning, along with proven experience deploying models into production within hybrid cloud environments (Azure and AWS). The Senior Data Scientist will collaborate with stakeholders across business and technology teams, ensuring solutions are scalable, explainable, and deliver measurable value. Qualifications Type of Qualification: First Degree – Field of Study: Computer Science, Statistics, Applied Mathematics, or related. Advanced degree (MSc / PhD) preferred. Experience 5-8 years of experience in Data Science and Machine Learning. Proven track record of deploying ML models into production (Azure ML, AWS Sagemaker, or Databricks). Strong expertise in Python (Pandas, Scikit‑learn, TensorFlow, PyTorch) and SQL. Solid understanding of statistics, time series analysis, NLP, and deep learning. Experience with MLOps, CI/CD pipelines, and model monitoring. Exposure to big data ecosystems (Spark, Databricks, Hadoop) is advantageous. Experience working in financial services or large‑scale enterprise environments (preferred). Skills & Competencies Adopting Practical Approaches, Articulating Information, Challenging Ideas, Empowering Individuals, Making Decisions, Producing Output, Pursuing Goals, Resolving Conflict, Showing Composure, Upholding Standards. Machine Learning & Deep Learning (Supervised, Unsupervised, NLP, GenAI); Statistical Modelling & Advanced Analytics; Data Wrangling & Feature Engineering; MLOps & Model Lifecycle Management; Business Problem‑Solving & Value Creation. #J-18808-Ljbffr



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