Personal and Private Banking (PPB) AI/ML Engineer Graduate Programme
Johannesburg, GP, South Africa
Standard Bank Group
The Standard Bank group is a leading financial services provider that supports Africa’s growth and development.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
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, scikit-learn); Big Data Processing Libraries (e.g. Spark, Dask); structured and unstructured data; building end-to-end solutions on Cloud (AWS, Azure); working with and tuning pre-built 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 pre-built AI capabilities offered by Cloud vendors where appropriate to increase project velocity, take advantage of latest state-of-the-art 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 AI-powered automation.
- Pushing SBG towards transforming into a more AI-native 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Banking Big Data CI/CD Computer Science CX Data analysis Engineering Machine Learning Mathematics Power BI PyTorch Qlik Research Scikit-learn Spark Tableau TensorFlow Unstructured data
Perks/benefits: Career development Startup environment
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