The Programme

For us, data is not just an asset; it’s the heartbeat of innovation and progress, fueling our ability to drive growth on the continent we proudly call home.

In an era where our world is shaped by data-led solutions, we’re at the forefront of building this critical function in our business.

Our Data Science Graduate Programme puts you right at the centre of this fast-moving area, with a focus on structured training and development and a commitment to technical, personal, and professional excellence.

So, who are we looking for?

You’ll be hugely talented, with a strong quantitative background. You’ll also be obsessed with solving real client problems by analyzing data, identifying insights, and building bespoke solutions.

Bring these skills to our graduate programme, and discover how - through learning, support, and unrivalled exposure - you’ll transform your potential into impact.

Here, your ambition and skill will find its match in our dedication to excellence.

What You Will Do

Client:

Supports business integration through integrating model outputs into end-point production systems, incorporating business requirements and knowledge of best practices.

Data:

Assist the gathering of data for use in Data Science models, ensuring that chosen datasets best reflect the organizations goals. Performs data pre-processing including data manipulation, transformation, normalization, standardization, visualization, and derivation of new variables/features. Utilizes advanced data analytics and mining techniques to analyze data, assessing data validity and usability; reviews data results to ensure accuracy; and communicates results and insights to stakeholders.
Assists various mathematical, statistical, and simulation techniques to typically large and unstructured data sets in order to answer critical business questions and create predictive solutions which drive improvement in business outcomes.
Assists analytics and insights across the organization by developing advanced statistical models and computational algorithms based on business initiatives.
Codes, tests, and maintains scientific models and algorithms and identifies trends, patterns, and discrepancies in data and determines additional data needed to support insight. Processes, cleanses, and verifies the integrity of data used for analysis.
Use data profiling and visualization techniques using tools to understand and explain data characteristics that will inform modelling approaches. Communicate data information to business with respective stakeholders, presenting trends, correlations and patterns found in complicated datasets in a manner that clearly and concisely conveys meaningful insights and defend recommendations under the supervision of data scientists.
Utilizes the appropriate data storage and data mining tools to ensure value can be extracted from the sourced data.
Mines data using state-of-the-art methods and enhances data collection procedures to include information that is relevant for building models.

People:

Liaise and collaborate with the Data Science Guild providing support to stakeholders in the department for its data centric needs.
Collaborate with subject matter experts to select the relevant sources of information and translates the business requirements into data mining/science outcomes.
Presents findings and observations to team for development of recommendations.

Product:

Supports various mathematical, statistical, and simulation techniques to answer business questions within specific areas of focus. Develops modelling solutions that enable the forecast of quality data outcomes. Ensures that volumetric predictions are modelled so that resource requirements are optimally considered. Supporting reporting production ensuring sustainable and effective modelling solutions.
Supports and implements operational IA plan, rules, methodologies, and coding initiatives in order to ensure IA for remediation efforts. Support and implements the strategy for productionalising automation software so that it is accurate and well maintained.

Technology & Architecture:

Assists in building machine learning models from and utilizes distributed data processing and analysis methodologies.
Competent in Machine Learning programming in R or Python, with supplementary still in Matlab, Java, etc. Familiar with the Hadoop distributed computational platform, including broader ecosystem of tools such as HDFS / Spark / Kafka.

Ready?

Apply for the Standard Bank Data Science Graduate Programme.

Required Skills and Abilities

Completed or currently enrolled in an Honours or Master’s degree in the following fields:

Data Science;
Statistics;
Computer Science;
Applied Mathematics;
Quantitative Risk Management;
Engineering (Computer, Industrial, Chemical, Electronic, Electrical, Mechanical, Mechatronic)

Honours qualification to be completed by 31 December 2025.

Minimum requirements:

Must be a South African citizen.
Should you have work experience, it should not exceed 24 months.
Full academic transcripts to be submitted with application for undergraduate and postgraduate studies.

About Us:

As a brand with a legacy of over 160 years in Africa, we have a deep understanding and belief in the boundless opportunities that this continent presents.

Our vision extends beyond mere geography; it encompasses a profound recognition of the potential for growth that resonates within our people, customers, entrepreneurs, and all who share our unwavering commitment and passion for investing in Africa.

With a presence in 20 countries across sub-Saharan Africa, we have cultivated a diverse community of the most skilled, innovative, and creative minds in the industry.

Our purpose is to drive Africa's growth, acting as a catalyst for inclusive and sustainable economic development in the regions we serve. We strive to improve the lives of our fellow Africans by conducting business in an ethical and responsible manner.

As a trusted partner, we consistently set higher standards and aspire to become better with each endeavor. We are more than just a banking institution; we are a driving force behind Africa's growth.

Join us on this transformative journey.

Together, we have the collective power to propel Africa into the future, making tangible progress for all who proudly call Africa home.