Personal and Private Banking PPB AIML Engineer Graduate Programme

To create artificial intelligence (AI) and machine learning (ML) solutions; applying deep domain expertise to facilitate the successful adoption and acceleration of AI and ML across Standard Bank Group (SBG); ensuring the needs of stakeholders are correctly understood and addressed.

You will build the technical knowledge of and experience in the following to address AI and ML solution requirements ML Concepts; Software Engineering Discipline (e.g. Source Control CI/CD); major ML frameworks (Tensorflow PyTorch scikitlearn); Big Data Processing Libraries (e.g. Spark Dask); structured and unstructured data; building endtoend solutions on Cloud (AWS Azure); working with and tuning prebuilt AI Services in Cloud; Data Visualisation software (Qlik Power BI Tableau etc..

You will learn to;

Apply engineering and math skills to analyse and prepare structured/unstructured data for modelling to support the Data Analysis and Engineering requirements of the role.

Apply the most appropriate algorithms and/or build novel algorithms/techniques to fit the problem statement identified which will support AI Modelling; take advantage of prebuilt AI capabilities offered by Cloud vendors where appropriate to increase project velocity take advantage of latest stateoftheart commercialised AI solutions and reduce internal technical debt.

Build and deploy new AI solutions for clients according to client needs to improve various business outcomes and drive innovation.

Collaborate with subject matter experts to select the relevant sources of information and translate the business requirements into AI/ML outcomes. Present findings and observations to team for development of recommendations.

Conduct research into and carry out AI and ML development processes to ensure the business unit fulfils the needs of AI and ML strategies.

Contribute to initiatives that include (But are not limited to);

• Driving improved Customer experience and retention through AI to support a positive client impact.
• Driving growth and retention of customer revenue.
• Reducing annual operational costs of SBG through AIpowered automation.
• Pushing SBG towards transforming into a more AInative organisation supporting a positive shareholder impact.
• Contributing to the design and development of analytical AI and ML methods to support novel approaches of data and information

Qualifications :

Final year undergraduate Honours or Masters Degree (Completed or currently completing in 2025;

• Computer Science
• Artificial Intelligence and Machine Learning
• Electronic Engineering
• Mechanical Engineering
• Mechatronic Engineering
• Mathematics Applied Mathematics
• Informatics Information Systems
• Software Development
• Software Engineering
• Data Engineering
• Data Science
• Quantitative Risk Management

Additional Information :

MINIMUM REQUIREMENTS

• Must be a South African citizen
• Must be under 30 years of age
• No more than two years work experience
• Minimum of 65 average over all years of study

KEY SKILLS AND ATTRIBUTES

• Working collaboratively with others
• Resilience
• Creative problem solving and considered decision making
• Curiosity and willingness to learn
• Positive attitude and self confidence
• Business acumen

Remote Work :

No

Employment Type :

Fulltime