Reports To: Senior Manager Transformation
Department: Technology And Enterprise Solutions
Job Grade: D3
Job Purpose:
Responsible for overseeing the execution of enterprise 4IR technologies and data science frameworks consistent with the organization’s goals. In addition, developing and implementing data science models to solve high-impact business use cases and creating data-driven solutions to improve efficiency and deliver value to the members.

Duties and Responsibilities include:
• Developing and executing detailed prescriptive and predictive analysis including advanced mathematical modelling, artificial intelligence and machine learning modelling, monitoring business issues and impact on customers.
• Lead the team to identify build and implement scalable data-driven models to high-impact
• Business use cases.
• Responsible for communicating analytics model behaviour/results to business
• AI / ML Integration within Business processes to create new experiences and/or reimagine old processes.
• Responsible for carrying out technical risk analysis and reliability assessments
• Apply a strong understanding of data science techniques and libraries to business problems.
• Build department-wide data science frameworks and capabilities through brokering access to data sources and providing upskilling opportunities.
• Foster cross-functional team collaboration to acquire holistic input/domain knowledge required to build high-impact data science models in the context of the specific use cases.
• Facilitate desired productivity and quality performance from team and stakeholders, based on defined KPIs as set by management teams across the department.
• Provide oversight of data science teams involved in agile scrum teams
• Provide leadership and coaching to the team to enhance high performance

Education Requirements:
• A Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, Software Engineering or Computer Science, or any related field
• Professional qualifications in, Data Science, Data Engineering, Robotics, Big Data or Data Analytics

Work Experience:
At least 7 years of working experience in Robotics, Data Science and Analytics, in a fast-paced environment, preferably in the financial industry.

Key Competences:
• Advanced Coding (python, R, etc.)
• 4IR Technologies, Data science and analytics (RPA, AI/ML modelling techniques, etc.)
• Commitment & Integrity
• Proactivity & Innovation
• Collaboration & stakeholder management
• Critical Thinking & Problem Analysis
• Research & Investigation
• Project Management
• Leadership