Internal Audit - Data and AI Enablement Graduate

The Internal Audit: Data and AI Enablement Graduate Programme provides graduates with practical exposure to data analytics, automation, visualisation, artificial intelligence and generative AI within Group Internal Audit (GIA). Graduates will work with multidisciplinary teams to develop fit-for-purpose data and AI-enabled solutions that support audit execution, digital assurance and informed decision-making. The programme offers a strong foundation for a career in data analytics, data science, AI enablement, intelligent automation or related digital disciplines, while promoting responsible, secure and ethical use of data and AI.

Completed an NQF Level 7 qualification or higher.

South African Citizen

Must meet the organisation’s applicable graduate programme eligibility criteria.

Must not be registered on another graduate programme.

Relevant certifications, coursework or practical projects in data analytics, AI, machine learning, cloud platforms or software development will be advantageous

Advanced Diplomas/National 1st Degrees

Certified Internal Auditor

No experience required

Exposure gained through academic projects, internships, vacation work, hackathons or personal projects in data, analytics, automation, software development or AI will be advantageous.

Basic familiarity with programming, data analysis or visualisation tools is preferred.

An interest in internal audit, financial services and the responsible application of emerging technology is desirable.

Support the delivery of audits through data analytics, automation, visualisation and AI solutions that improve digital assurance.

Assist with sourcing, preparing, analysing and interpreting data to identify trends, anomalies, risks and insights.

Develop dashboards, reports and data stories that communicate insights clearly to audit teams and stakeholders.

Contribute to the development of data pipelines, analytical models, machine learning solutions and GenAI use cases under appropriate guidance.

Gain practical exposure to Microsoft Fabric, Azure AI capabilities and approved automation and AI tools used within Nedbank.

Assist with building AI-enabled solutions, including prompt design, retrieval-augmented generation and AI agents, where appropriate.

Apply data governance, information security, model risk and responsible AI principles throughout the solution lifecycle.

Collaborate with audit teams, data owners, technology teams and other stakeholders to understand requirements and deliver practical solutions.

Participate in structured learning, mentoring, knowledge-sharing and capability-building activities across GIA.

Identify opportunities to improve audit quality, efficiency and insight through data, automation and AI.