## Company Description Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you. ## Job Description Plays a critical role in bridging data science and operational process intelligence within the bank. It involves data mining, machine learning and advanced analytics, techniques to large, structured and unstructured datasets and transforming raw operational data into actionable insights that drive performance improvement and evidence-based decision-making. Working closely with Operations, Data and Technology teams you will leverage tools such as Microsoft Fabric and advanced analytics platforms to create enterprise-wide visibility of how work flows through the bank and where value is created or lost. ## Qualifications **Type of Qualification:** First Degree **Field of Study:** Information Technology, Data Science, Statistics or related - Professional certifications in data science, machine learning, or Microsoft Fabric - AWS Certified Machine Learning - Microsoft Certified: Fabric Analytics Engineer Associate **Experience Required** - Minimum 3-4 years of professional experience in data science, advanced analytics, or business intelligence roles. - Demonstrated experience working with Microsoft Fabric or similar modern data platform technologies (Azure Synapse, Databricks, Snowflake). - Track record of developing and deploying machine learning models in production environments. - Experience with process analytics, process mining, or operational intelligence in enterprise or financial services environments is highly desirable. - Background in business intelligence, data warehousing, or data analytics demonstrating ability to connect data to business value. - Experience working in cross-functional teams collaborating with business stakeholders, process professionals, and IT teams. ## Additional Information **Behavioural Competencies:** - Adopting Practical Approaches - Articulating Information - Convincing People - Embracing Change - Examining Information - Exploring Possibilities - Generating Ideas - Interpreting Data - Providing Insights - Seizing Opportunities - Taking Action - Upholding Standards **Technical Competencies:** - Automation - Business Process Design - Business Process Improvement - Data Integrity - Insurance Principles - Internal & External IT Environment - IT Risk Management - Software Development Life Cycle (SDLC) methodologies & Tools