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Graduate Programme: AI & Robotic Process Automation
Designation: Graduate Programme: AI & Robotic Process Automation
Category: Technology – OF6302
Posted by: Alexander Forbes
Posted on: 29 Jul 2025
Closing date: 12 Aug 2025
Location: Sandton
Purpose of the Job:
Overview:
Graduate Programme Area: Information Management
Sub Area of Graduate Programme: AI and RPA (data) management
• The graduate candidate we are looking for will be:
o a highly motivated and analytical individual with a strong academic background (backed up with hands on technical lab work) in data science/ data quality and data management, machine learning, and experience in applying artificial intelligence computing methods
• He or she will be proficient in programming languages such as:
o Python, Fedora-Linux, Windows server, R, MS SQL, PowerShell scripting PowerBI, data cloud platforms inter alia Amazon AWS, MS Azure, Google, Snowflake with hands-on experience performing data analysis, predictive modelling and data storytelling supported by data visualization methods
• He or she should be comfortable to interact with:
o big data sets (databases) where the typical database table records will reference at least a million or more individual data entries.
• He or she should be comfortable to interact with:
o APIs – basic configuration and debugging.
• Ideal candidate personalities will be individuals who:
o likes to ask questions, are technical inclined, hands-on, enjoy working in small teams, are fond of problem solving and self-study to remain current with the ever-developing world of data science and AI technical landscape(s), displays confidence, self-awareness and the ability to work independently.
• Successful candidates:
o will work either remotely or onsite at our Sandton office.
o Display a deliverable orientation (outcome focused) – meaning, their nature should be inclined to express an intent to get things done!
Requirements:
• A national Diploma or Degree(s) majoring in Data Science, Computer Science, Statistics, or related fields
• Additionally, the individual should ideally also be working towards (or alternatively already obtained) multiple certifications in the use of SQL, data science, AI, or AI applications using data labs.
• Prior exposure with the ability to conduct AI model prompt training (enhancements) and or model-local hosting methods e.g. Ollama, LM studio, MS Co-Pilot studio or similar (will be advantageous)
• Tertiary Institution(s): all are welcome to apply
• Graduation Year(s): three (3) or more
• Relevant coursework should include data quality (DQ) management principles, setup and monitoring of data pipelines, using machine learning (ML) methos, MS or MYSQL, interpreting data modelling outcomes to select reliable data training scenarios, perform data mining and profiling, conduct statistical analysis with data storytelling, AI model selection, re-enforcement learning, prompting and design. Selection and or configuration of AI virtual agents and patterns – select, design, operate, monitor and support.
• Tools: MS Teams, Python, Kaggle, Linux, Jupyter IDE, Git, Excel. SQL. Postman, data handling and manipulation utilities
Main Accountabilities:
• Participate in data collection and preprocessing for AI projects
• Develop and test machine learning models under supervision
• Analyze datasets to extract actionable insights for business problems
• Present results to technical and non-technical stakeholders
• Contribute to documentation and knowledge sharing within the team
Key Competencies:
Technical Skills
• Programming Proficiency: Emphasize strong skills in Python, as it is the industry standard for AI, along with familiarity in R or Java. These languages are essential for building algorithms, automating data tasks, and working with AI frameworks
• Machine Learning & Deep Learning: Highlight foundational knowledge in machine learning algorithms, deep learning models, and neural networks. Understanding supervised and unsupervised learning, as well as practical experience with model training and evaluation
• Data Literacy & Analytics: Ability to collect, clean, preprocess, and analyze data is crucial. Familiarity with tools such as pandas, NumPy, SQL, and data visualization libraries (e.g. Matplotlib, Seaborn, Tableau) is important for communicating insights and supporting model development
• Mathematics and Statistics: A solid grasp of linear algebra, calculus, probability, and statistics is foundational for understanding and building AI models
• Familiarity with AI Tools & Frameworks: Experience with data management, data virtualisation, machine learning libraries s), cloud platforms and big data tools
Soft Skills
• Problem-Solving & Critical Thinking: AI projects often involve complex, ambiguous problems. Emphasize your ability to troubleshoot, analyse challenges, and develop creative solutions
• Collaboration & Communication: AI teams are multidisciplinary. Highlight experience working in diverse teams, communicating technical concepts to non-technical audiences, and contributing to cross-functional projects
• Adaptability & Continuous Learning: The AI field evolves rapidly. Show willingness to learn new tools, adapt to new challenges, and stay updated with the latest advancements
• Ethics & Governance Awareness: Understanding AI ethics, bias mitigation, data privacy, and regulatory compliance is increasingly important. Awareness of responsible AI practices and explainability
• Strong communication and presentation skills
• Team collaboration
• Time management
Graduate Programme: Business Analysis
Designation: Graduate Programme: Business Analysis
Category: Group Technology
Posted by: Alexander Forbes
Posted on: 29 Jul 2025
Closing date: 12 Aug 2025
Location: Sandton
Purpose of the Job:
Overview:
Graduate Programme Area: BizTech
Sub Area of Graduate Programme: Business Analysis
The ideal candidate is a curious, detail-oriented problem solver who enjoys working with data, understanding business processes, and translating needs into actionable insights. They thrive in a structured, team-oriented environment and are eager to learn how financial services function at both operational and strategic levels. A passion for data-driven decision-making and business transformation is key.
Minimum Qualifications:
• Bachelor’s degree in Business Analytics, Information Systems, or a related discipline.
• Strong academic foundation in business analysis
• An academic background in finance is advantageous
Main Accountabilities:
• Assist in gathering and analysing business requirements across departments.
• Support the documentation of business processes, use cases, and workflows.
• Engage with stakeholders to understand and communicate business needs.
• Participate in solution design discussions and construct associated user stories for agile projects.
• Help monitor and report on project and performance metrics.
Key Competencies:
• Analytical and critical thinking
• Strong verbal and written communication
• Knowledge of UML or other business modelling protocols
• Attention to detail
• Stakeholder engagement
• Team collaboration
• Time management and adaptability
Graduate Programme: Business Intelligence
Designation: Graduate Programme: Business Intelligence
Category: Human Capital & Transformation – OF5300
Posted by: Alexander Forbes
Posted on: 29 Jul 2025
Closing date: 12 Aug 2025
Location: Sandton
Purpose of the Job:
Overview:
Graduate Programme Area: Information Management
Sub Area of Graduate Programme: Business Intelligence (BI)
A highly motivated recent graduate with strong proficiency in Power BI and SQL, capable of creating insightful reports and extracting meaningful data efficiently. Knowledge of Python and R is highly beneficial, enabling them to perform advanced data analysis and automation tasks. Experience working with large and complex datasets is a plus, demonstrating their ability to handle data volume and complexity.
They exhibit exceptional attention to detail, ensuring accuracy and data integrity in all deliverables. This graduate is naturally curious and open to asking questions and actively gaining knowledge from peers, mentors, and external resources.
With a keen interest in data science, AI, and emerging market trends, they stay up-to-date on industry developments, which informs their analytical approach and business understanding.
They are outcome-focused, driven to deliver actionable insights that support business goals. They demonstrate strong self-management skills, taking ownership of their tasks and deliverables.
Excellent communication and collaboration skills enable them to work cross-functionally and present findings clearly to both technical and non-technical stakeholders.
Minimum Qualifications:
A degree in Data Science, Business Analytics, Computer Science, Information Systems, Statistics or a related quantitative field. Demonstrated coursework or projects in data analysis, databases, data visualization and business strategy. Dashboards, reports, or case studies that showcase analytical thinking and visualization skills.
Main Accountabilities:
- Data Collection & Preparation
a. Support the extraction, transformation and loading (ETL) of data from various internal and external sources
b. Assist in maintaining data accuracy, completeness and integrity
c. Clean, validate and standardize data for use in reporting and analysis - Reporting & Dashboard Support
a. Contribute to the development, maintenance and enhancement of BI reports and dashboards using tools like Power BI, Denodo and SQL
b. Help ensure reports are accurate, up-to-date and aligned with business requirements
c. Responding to ad-hoc data requests from stakeholders with guided support from the team - Data Analysis & Insight Generation
a. Conduct exploratory data analysis to identify trends, anomalies and opportunities for business improvement
b. Support BI developers in translating data into actionable insights for stakeholders across departments
c. Assist in preparing summary findings and visualizations for decision-making - Stakeholder Collaboration
a. Participate in meetings with business stakeholders to gather reporting requirements and understand business context
b. Translate business questions into data-related tasks with supervision
c. Communicate data findings clearly, both verbally and in written form - Documentation & Knowledge Management
a. Document processes, queries, data definitions and report specifications to ensure reproducibility and knowledge sharing
b. Maintain version control and change logs for datasets and dashboards - Continuous Learning & Development
a. Proactively develop technical and business knowledge relevant to BI function
b. Participate in training sessions, mentorship opportunities and team knowledge-sharing practices
c. Stay informed about new tools, trends and best practices in BI and analytics - Compliance & Data Governance
a. Follow data privacy, security and governance guidelines as defined by the organization
b. Assist in ensuring BI outputs are compliant with relevant policies and standards
Key Competencies:
Analytic & Problem-Solving Abilities
• Strong ability to interpret data and draw meaningful business insights
• Capable of identifying trends, outliers, and anomalies within datasets
• Able to translate ambiguous business questions into structured analytical tasks
Business Acumen
• Understanding of key business functions such as sales, marketing, finance and operations
• Ability to align analytical work with business goals and KPI’s
• Curiosity about how data drives business decisions and impacts performance
Soft Skills
• Communication – able to present complex data findings in a clear, concise and compelling manner to both technical and non-technical audiences.
• Collaboration – comfortable working cross-functionally with stakeholders from IT and the rest of business
• Adaptability – willingness to learn new tools and adjust to shifting priorities in a fast-paced environment
• Attention to detail – meticulous approach to data integrity, accuracy and documentation.
Graduate Programme: Data Engineering
Designation: Graduate Programme: Data Engineering
Category: Human Capital & Transformation – OF5300
Posted by: Alexander Forbes
Posted on: 29 Jul 2025
Closing date: 12 Aug 2025
Location: Sandton
Purpose of the Job:
Overview:
Graduate Programme Area: Information Management
Sub Area of Graduate Programme: Data (Data Engineering/ Data Solutions)
The graduate candidate we are looking for will be:
- a highly motivated and analytical individual with a strong academic background having a passion for data. He or she will need to be interested in pursuing a career in the data space: data engineering or data science.
- He or she must be willing to learn and comfortable being challenged with complex problems.
- Must be a team player
- He or she must have a keen interest in developing their skills in the following areas: data analysis, SQL development, ETL processes, general programming practices, and API development. Exposure to database systems and software engineering methodologies will be beneficial
Minimum Qualifications:
• A national Diploma or Degree(s) majoring in Science or Engineering preferably in Data Science, Computer Science, Statistics, or Electrical/Computer/Information/Mechanical/Industrial engineering.
• Basic understanding and exposure to software engineering methodologies, programming principles, database management systems and SQL.
Main Accountabilities:
• Participate in the development of data solutions for the business including the development of database objects, data models, SQL code, and APIs.
• Take part in general maintenance tasks for the various data solutions developed.
• Partake in project sessions and deliver on deadlines
• Analyse datasets to enable the development of various data solutions as well as to extract actionable insights for business problems
• Present data analysis and data solutions developed to technical and non-technical stakeholders
• General support to the business relating to the data solutions.
• Contribute to documentation and knowledge sharing within the team
Key Competencies:
Technical Skills
• Programming Proficiency: Strong understanding of software engineering methodologies and coding best practices. The graduate will build solid skills in data analysis and query writing as well as gain exposure to ETL (Extract Transform and Load) processes. They will gain knowledge in several languages / tools in the data space: SQL, SSIS, Denodo, C# and API development.
• Data Literacy & Analytics: Ability to collect, clean, preprocess, and analyse data is crucial.
• Familiarity with Data Tools: Experience with data management, databases, ETL tools, data virtualisation, machine learning, cloud platforms and big data tools would be beneficial. The graduate will gain exposure to these tools.
Soft Skills
• Problem-Solving & Critical Thinking: Ability to analyse complex problems and to propose several different approaches to addressing the problem at hand.
• Collaboration & Communication: Capable of working in diverse teams, communicating technical concepts to non-technical audiences, and contributing to cross-functional projects
• Adaptability & Continuous Learning: Willingness to learn new tools, adapt to new challenges, and stay updated with the latest advancements within the data space.
• Ethics & Governance Awareness: Awareness of data privacy and ethical use of data.
• Strong communication and presentation skills
• Accountability and ownership: Takes ownership of their work and responsibility in the work environment, proactively addressing issues encountered with their manager.
• Team work
Graduate Programme: Developer: Power Platform
Designation: Graduate Programme: Developer: Power Platform
Category: Human Capital & Transformation – OF5300
Posted by: Alexander Forbes
Posted on: 29 Jul 2025
Closing date: 12 Aug 2025
Location: Sandton
Purpose of the Job:
Overview:
Graduate Programme Area: Delivery Management
Sub Area of Graduate Programme: Development
Such a graduate is not only technically proficient but also possesses the soft skills and personal attributes
necessary to excel in a dynamic and collaborative environment. They are driven by a passion for technology and a commitment to continuous learning, making them well-suited for a career in D365 and Power Platform
development.
Personal Attributes
- Passion for Technology: A genuine interest in technology and a desire to stay updated with the latest
trends and advancements. - Attention to Detail: Meticulous attention to detail to ensure high-quality deliverables.
- Customer-Centric Mindset: Understanding the importance of user experience and customer satisfaction.
Professional Development
- Continuous Learning: Self-driven, commitment to continuous learning and professional development
through courses, certifications, and industry events. - Networking: Self-driven, active participation in professional networks and communities related
specifically to the D365 and Power Platform.
Soft Skills
- Problem-Solving: Strong analytical and problem-solving abilities to design and implement effective
solutions. - Communication: Excellent verbal and written communication skills to interact with stakeholders and
team members. - Teamwork: Ability to work collaboratively in a team environment.
- Task Ownership: Take full responsibility for the tasks and projects assigned to you. This includes
understanding the requirements, setting goals, and managing your time effectively to meet deadlines. - Adaptability: Willingness to learn and adapt to new technologies and methodologies.
Experience
- Internships/Projects: Hands-on experience through internships, academic projects, or personal
projects related to basic software development.
Minimum Requirements:
Educational Background
- Degree: A bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a
related field.
Technical Skills - Programming Languages: Basic proficiency in languages such as C#, JavaScript, and SQL.
- Cloud Services: Basic knowledge and understanding of cloud computing concepts.
Main Accountabilities for a Graduate D365 and Power Platform Developer
- Learning and Development:
- Training: Actively participate in training sessions and self-study to build foundational knowledge
of Dynamics 365 (D365) and Power Platform. - Skill Development: Continuously work on improving technical skills, including understanding
the basics of D365 modules, Power Apps, Power Automate, and Power BI.
- Task Execution:
- Basic Development Tasks: Assist in developing and configuring simple applications and
workflows under the guidance of senior developers. - Support Tasks: Provide support in troubleshooting and resolving basic issues related to D365
and Power Platform applications.
- Documentation:
- Record Keeping: Maintain accurate and detailed documentation of development processes,
configurations, and any issues encountered. - Knowledge Sharing: Contribute to the creation of knowledge base articles and user guides to
assist other team members and end-users.
- Collaboration:
- Team Interaction: Work closely with senior developers, delivery/project managers, application
owners and other team members to understand project requirements and deliverables. - Feedback: Actively seek and incorporate feedback from peers and supervisors to improve
performance and output.
- Project Involvement:
- Participation: Participate in project meetings and contribute to discussions with a focus on
learning and understanding project goals and timelines. - Task Management: Manage assigned tasks effectively, ensuring timely completion and
adherence to project standards.
- Proactive Learning:
- Curiosity: Show a keen interest in learning new technologies and methodologies related to
D365 and Power Platform. - Resource Utilization: Utilize available resources such as online tutorials, forums, and
documentation to enhance understanding and problem-solving skills.
Graduate Programme: Developer: Tungsten
Designation: Graduate Programme: Developer: Tungsten
Category: Human Capital & Transformation – OF5300
Posted by: Alexander Forbes
Posted on: 29 Jul 2025
Closing date: 12 Aug 2025
Location: Sandton
Purpose of the Job:
Overview:
Graduate Programme Area: Delivery Management
Sub Area of Graduate Programme: Application Management
Such a graduate is not only technically proficient but also possesses the soft skills and personal attributes necessary to excel in a dynamic and collaborative environment. They are driven by a passion for technology and a commitment to continuous learning, making them well-suited for a career as a Tungsten TotalAgility Forms Developer.
Personal Attributes
• Passion for Technology: A genuine interest in technology and a desire to stay updated with the latest trends and advancements.
• Attention to Detail: Meticulous attention to detail to ensure high-quality deliverables.
• Customer-Centric Mindset: Understanding the importance of user experience and customer satisfaction.
Professional Development
• Continuous Learning: Self-driven, commitment to continuous learning and professional development through courses, certifications, and industry events.
• Networking: Self-driven, active participation in professional networks and communities related specifically to the TotalAgility platform.
Soft Skills
• Problem-Solving: Strong analytical and problem-solving abilities to design and implement effective solutions.
• Communication: Excellent verbal and written communication skills to interact with stakeholders and team members.
• Teamwork: Ability to work collaboratively in a team environment.
• Task Ownership: Take full responsibility for the tasks and projects assigned to you. This includes understanding the requirements, setting goals, and managing your time effectively to meet deadlines.
• Adaptability: Willingness to learn and adapt to new technologies and methodologies.
Experience
• Internships/Projects: Hands-on experience through internships, academic projects, or personal projects related to basic software development.
Minimum Qualifications:
Educational Background
• Degree: A bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field.
Technical Skills
• Programming Languages: Basic proficiency in languages such as C#, JavaScript, and SQL.
• Forms Design Tools: Basic ability in designing intuitive and functional forms.
• User Experience (UX) Design: Basic understanding of UX principles.
• HTML/CSS: Basic knowledge in HTML and CSS.
Main Accountabilities:
Main Accountabilities for a Graduate Tungsten TotalAgility Forms Developer
• You will be required to design, develop and implement automated business workflows and forms using the TotalAgility platform.
• This involves configuring processes, forms, data capture rules and integrations to optimise document-centric workflows. This requires low-code development, AI-driven document processing and system integration with other enterprise applications.
• You will act as a technical specialist who can translate business requirements into functional TotalAgility solutions.
- Learning and Development:
• Training: Actively participate in training sessions and self-study to build foundational knowledge of the TotalAgility platform.
• Skill Development: Continuously work on improving technical skills, including Tungsten Automation certification (required modules to be defined by Alexander Forbes).
• Curiosity: Show a keen interest in learning new technologies and methodologies related to form development, APIs and systems integration.
• Resource Utilization: Utilize available resources such as online tutorials, forums, and documentation to enhance understanding and problem-solving skills. - Task Execution:
• Basic Development Tasks: Assist in designing, developing and implementing automated business workflows and forms.
• Support Tasks: Provide support in troubleshooting and resolving basic issues related to business workflows and forms. - Documentation:
• Record Keeping: Maintain accurate and detailed documentation of development processes, configurations, and any issues encountered.
• Knowledge Sharing: Contribute to the creation of knowledge base articles and user guides to assist other team members and end-users. - Collaboration:
• Team Interaction: Work closely with senior developers, delivery/project managers, application owners and other team members to understand requirements and deliverables.
• Feedback: Actively seek and incorporate feedback from peers and supervisors to improve performance and output.
• Technical specialist: You will act as a technical specialist who can translate business requirements into functional TotalAgility solutions.
Key Competencies:
- Analytical Thinking:
• Ability to analyse complex problems and develop effective solutions.
• Strong data analysis skills to interpret and utilize data effectively. - Technical Proficiency:
• Basic Understanding of Programming Concepts: Familiarity with fundamental programming concepts and principles, such as object-oriented programming, data structures, and algorithms.
• Introductory Knowledge of Programming Languages: Exposure to programming languages like C#, JavaScript, and SQL through coursework or projects, with a willingness to learn and improve proficiency.
• Technical Problem-Solving Skills: Ability to apply basic coding skills to solve simple problems. - Communication Skills:
• Excellent verbal and written communication skills to convey technical information clearly.
• Ability to interact with stakeholders and team members effectively. - Teamwork:
• Ability to work collaboratively in a team environment.
• Willingness to share knowledge and support team members. - Problem-Solving:
• Strong problem-solving skills to troubleshoot and resolve issues and
develop innovative solutions to meet business needs. - Adaptability:
• Flexibility to adapt to new technologies and changing business requirements.
• Openness to continuous learning and professional development. - Attention to Detail:
• Meticulous attention to detail to ensure high-quality deliverables and
ability to manage multiple tasks and prioritize effectively. - Customer-Centric Mindset:
• Understanding the importance of user experience and customer satisfaction.
Graduate Programme: UI/UX Designer
Designation: Graduate Programme: UI/UX Designer
Category: Human Capital & Transformation – OF5300
Posted by: Alexander Forbes
Posted on: 29 Jul 2025
Closing date: 12 Aug 2025
Location: Sandton
Purpose of the Job:
Overview:
Graduate Programme Area: BizTech
Sub Area of Graduate Programme: UI/UX Designer
The ideal candidate is a creative thinker who is passionate about designing intuitive, engaging, and inclusive digital experiences. They are empathetic, user-focused, and have a strong interest in how design intersects with technology and business. They are eager to explore the financial services landscape and use design to simplify complex systems and processes, making abstract future-based financial projections concrete and compelling for users.
Minimum Qualifications:
• Bachelor’s degree or equivalent in Interaction Design, User Experience Design, Digital Media, Graphic Design, or a related field.
• Portfolio of UX/UI work or relevant design projects (academic or personal) is highly recommended.
Main Accountabilities:
• Assist in designing user journeys, wireframes, mockups, and prototypes for digital platforms.
• Collaborate with product owners, developers, and stakeholders to improve user experience.
• Conduct or support user research and usability testing.
• Contribute to the development and documentation of design systems and accessibility standards.
• Help gather and apply feedback to iterate on design solutions.
Key Competencies:
• Empathy and user-centric mindset
• Ability to conduct design thinking workshops
• Creativity and problem solving
• Wireframing and prototyping (Figma)
• Journey mapping and persona creation
• Communication and collaboration skills
• Attention to aesthetic and functional detail
• Research and analytical thinking
Click here to apply
We wish you all the best with your applications
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