Listing Reference: 80439313A-0001
Listing Status: Open
Position Summary
Company: Standard Bank Group
Industry: Personal & Private Banking
Job Category: Graduate Programme / Data Science
Location: Johannesburg, Gauteng, South Africa
Contract Type: Full-time
Remuneration: Market-Related Graduate Package
EE Position: Yes
Closing Date: 30 June 2025
Introduction
Standard Bank Group is inviting highly motivated and talented graduates to apply for its Data Science Graduate Programme 2025. As one of Africa’s leading banking institutions, Standard Bank is at the forefront of leveraging data to drive innovation and meaningful impact across the continent. This programme offers an unparalleled opportunity for ambitious graduates to immerse themselves in the fast-paced world of data science, contributing to real-world business solutions while advancing their technical, personal, and professional development.
The Data Science Graduate Programme is tailored for individuals with a strong quantitative background and an insatiable curiosity for solving complex problems. Participants will be exposed to cutting-edge technology, industry experts, and challenging projects aimed at transforming data into actionable insights that drive client and business success.
Job Description
As a Data Science Graduate, you will be part of a dynamic team responsible for delivering data-led solutions that shape the future of banking. You will gain hands-on experience in data mining, machine learning, predictive modelling, and analytics, while developing the skills to address real client needs. Through structured learning, mentorship, and practical exposure, you will build a robust foundation in data science within one of Africa’s most innovative financial services organisations.
Key Responsibilities
- Client Engagement
- Support business integration by incorporating model outputs into production systems.
- Understand business requirements to develop data science outcomes that align with client needs.
- Apply best practices to ensure actionable insights are delivered to stakeholders.
- Data Processing & Analysis
- Assist in gathering and preparing data for use in data science models.
- Perform data pre-processing, including manipulation, transformation, standardisation, and visualisation.
- Derive new variables/features that enhance modelling accuracy and relevance.
- Utilise advanced data analytics and mining techniques to analyse complex datasets.
- Assess data validity and usability, reviewing data outputs to ensure accuracy and insightfulness.
- Support the development of advanced statistical models and computational algorithms.
- Model Development & Testing
- Code, test, and maintain scientific models and algorithms.
- Identify trends, patterns, and anomalies in data and recommend data enhancements as necessary.
- Communicate trends and insights to stakeholders clearly and concisely.
- Use data profiling and visualisation tools to explain modelling approaches and support decisions.
- Process and cleanse data while verifying its integrity for analysis.
- People Collaboration & Communication
- Collaborate with the Data Science Guild and internal stakeholders to provide data-centric support.
- Work alongside subject matter experts to select data sources relevant to business objectives.
- Present findings to teams to inform recommendations and action plans.
- Product Development & Innovation
- Assist in developing modelling solutions that improve business outcomes and predict data trends.
- Support the integration of machine learning solutions into operational systems.
- Contribute to forecasting models to support resource allocation and operational planning.
- Technology & Architecture
- Assist in building machine learning models and utilising distributed data processing frameworks.
- Demonstrate proficiency in machine learning programming languages such as Python or R.
- Familiarity with data engineering platforms, including Hadoop, Spark, Kafka, and HDFS, is an advantage.
- Support initiatives for data automation, ensuring accuracy and scalability in production environments.
Ideal Candidate
Standard Bank is seeking high-calibre graduates who are passionate about data and its power to transform the banking industry. Ideal candidates will have a strong academic background in quantitative fields, excellent problem-solving abilities, and a curiosity for developing data-driven solutions.
Qualifications Required
- Completed or currently enrolled in an Honours or Master’s degree in one of the following fields:
- Data Science
- Statistics
- Computer Science
- Applied Mathematics
- Quantitative Risk Management
- Engineering (Computer, Industrial, Chemical, Electronic, Electrical, Mechanical, Mechatronic)
- Honours qualification must be completed by 31 December 2025.
Minimum Requirements
- Must be a South African citizen.
- Maximum of 24 months work experience.
- Full academic transcripts (undergraduate and postgraduate studies) must be submitted with the application.
Role Responsibility
As a graduate in the Data Science Programme, your key responsibilities include:
- Developing data-driven solutions that directly address business and client challenges.
- Engaging in end-to-end data science projects from data collection to model deployment.
- Supporting decision-making processes with data insights that enhance customer experience and operational efficiency.
- Collaborating with cross-functional teams to implement scalable data solutions.
- Participating in structured learning and personal development programmes.
- Demonstrating a proactive approach to problem-solving and contributing to the success of the data science team.
Skills and Attributes
Successful applicants will demonstrate the following skills and attributes:
- Strong analytical and quantitative problem-solving skills.
- Excellent programming ability in Python or R; familiarity with Matlab, Java, or other languages is beneficial.
- Understanding of machine learning techniques and data processing frameworks.
- Familiarity with big data platforms such as Hadoop, Spark, and Kafka is advantageous.
- Strong communication skills for presenting insights and recommendations to stakeholders.
- Ability to collaborate effectively in cross-functional teams.
- Innovative thinking with a passion for driving data-led change.
- Commitment to continuous learning and staying updated with the latest advancements in data science.
- Self-motivated and capable of managing projects in a fast-paced environment.
Benefits of Joining the Data Science Graduate Programme
- Opportunity to work with Africa’s leading banking institution on high-impact data projects.
- Structured learning pathways with access to technical and soft skills development.
- Mentorship from seasoned data scientists and industry experts.
- Exposure to cutting-edge technologies and innovative solutions in data science.
- Accelerated career development with opportunities for permanent placement within Standard Bank.
- Be part of an organisation that champions diversity, innovation, and digital transformation.
- Competitive remuneration package designed to support graduate career growth.
Why Choose Standard Bank?
Standard Bank Group is a recognised leader in digital banking and data-driven innovation across the African continent. The bank is committed to driving Africa’s growth, and data science is at the core of this strategy. By joining the graduate programme, you become part of a forward-thinking team that delivers tangible impact through innovative solutions, client-centric data strategies, and cutting-edge technologies.
Standard Bank’s commitment to personal development, diversity, and inclusion ensures that graduates receive the best support to launch successful careers in data science and beyond.
How to Apply
To apply for the Standard Bank Data Science Graduate Programme 2025, follow these steps:
- Visit the Standard Bank Careers Portal.
- Search for “Data Science Graduate Programme 2025”.
- Click on the application link and complete the online application form.
- Upload the required documents:
- Certified copies of academic transcripts (undergraduate and postgraduate).
- Updated Curriculum Vitae (CV).
- Certified copy of South African ID.
- Submit your application before the closing date of 30 June 2025.
Closing Date
All applications must be submitted by 30 June 2025. Only shortlisted candidates will be contacted. Should you not receive feedback within 3 months of the closing date, kindly consider your application unsuccessful.
Conclusion
If you are passionate about data science and looking to launch your career in a leading financial institution, the Standard Bank Data Science Graduate Programme 2025 is your gateway to a future of growth, innovation, and impact. Seize this opportunity to work with Africa’s digital banking leader, where your skills and ambition can thrive.
Apply today and be part of shaping the future of banking in Africa through the power of data!
How to Apply
NB. Use the links given below to Apply
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We wish you all the best with your Applications