To apply advanced data mining, statistical analysis, machine learning, and visualisation techniques to large structured and unstructured datasets in order to identify trends, generate insights, and solve complex business problems, while working closely with business, data, and technology teams to transform data into actionable information that supports sound decision-making. The role also drives revenue assurance strategies, governance frameworks, and risk mitigation initiatives to minimise revenue leakage, overseeing systems, data analytics, reporting, and continuous process improvements to strengthen revenue leakage management, prevention, and operational effectiveness across the Bank.
Job Summary
- Type: full-time
- Location: Mbabane
- Category: Data Science
- Closing Date: 2026-09-07
Key Responsibilities
- To apply advanced data mining, statistical analysis, machine learning, and visualisation techniques to large structured and unstructured datasets in order to identify trends, generate insights, and solve complex business problems.
- Working closely with business, data, and technology teams to transform data into actionable information that supports sound decision-making.
- Drive revenue assurance strategies, governance frameworks, and risk mitigation initiatives to minimise revenue leakage.
- Overseeing systems, data analytics, reporting, and continuous process improvements to strengthen revenue leakage management, prevention, and operational effectiveness across the Bank.
Requirements
- Type of Qualification: First Degree Field of Study: Actuarial Science
- Type of Qualification: First Degree Field of Study: Financial Mathematics or Information Technology
- 3-4 years Experience in working with unstructured data (e.g. Streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data. Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data. Experience with common data science toolkits, such as SAS, R, SPSS, etc. Experience with data visualisation tools, such as Power BI, Tableau, etc.
- 3-4 years Proven development experience in software and software engineering. Understanding of financial services data processes, systems, and products. Experience in technical business intelligence. Knowledge of IT infrastructure and data principles. Project management experience. Experience in building models (credit scoring, propensity models, churn, etc.)
- Behavioural Competencies: Adopting Practical Approaches
- Behavioural Competencies: Articulating Information
- Behavioural Competencies: Challenging Ideas
- Behavioural Competencies: Checking Things
- Behavioural Competencies: Examining Information
- Behavioural Competencies: Exploring Possibilities
- Behavioural Competencies: Interacting with People
- Behavioural Competencies: Interpreting Data
- Behavioural Competencies: Meeting Timescales
- Behavioural Competencies: Producing Output
- Behavioural Competencies: Providing Insights
- Behavioural Competencies: Team Working
- Technical Competencies: Data Analysis
- Technical Competencies: Database Administration
- Technical Competencies: Data Integrity
- Technical Competencies: Knowledge Classification
- Technical Competencies: Research & Information Gathering
How to Apply
About the Company
Standard Bank Eswatini operates as a prominent financial institution serving the personal banking needs of individuals across the country. Its official website, standardbank.co.sz, provides essential resources such as detailed pricing guides and general terms and conditions for its services. These documents ensure transparency and inform customers about the financial products available within Eswatini. As a key player, Standard Bank Eswatini is dedicated to supporting its clients with tailored banking solutions throughout the nation.
Personal banking solutions in Eswatini.
Website: https://www.standardbank.co.sz/eswatini/personal
Frequently Asked Questions
What qualifications do I need to become a Data Scientist in Finance and Value Management at a bank like Standard Bank?
Typically you need a degree in Data Science, Statistics, Computer Science, Mathematics, or Finance, with many employers preferring an honours level qualification. Certifications such as SAS, Microsoft Azure/AWS data credentials, or CFA foundations can strengthen your application. Strong SQL and Python skills plus financial domain knowledge are usually expected.
What are the typical day-to-day responsibilities of this role?
You would build and maintain predictive models, analyse financial and customer value data, and produce dashboards and reports that support decision-making. The role also involves collaborating with finance, risk, and business teams to translate insights into actionable strategies. Data cleaning, validation, and stakeholder presentations are regular parts of the work.
What is the work culture like for data professionals in Eswatini's banking sector?
Banking environments in Eswatini tend to be formal and structured, with clear hierarchies and professional dress codes. Punctuality, accountability, and strong communication with non-technical stakeholders are highly valued. Expect collaborative team settings but also strict adherence to compliance and data governance standards.
What career growth can I expect as a Data Scientist in Eswatini?
You can progress from junior analyst roles to senior data scientist, lead analytics specialist, or management positions such as Head of Analytics. Many professionals also move into related fields like risk modelling, credit analytics, or data engineering. Gaining regional experience across Southern Africa can open further opportunities with larger banking groups.
What benefits are typically offered for this type of role?
Banks in Eswatini commonly offer medical aid contributions, pension or provident fund participation, and paid annual leave alongside statutory benefits. Additional perks may include performance bonuses, study assistance, and staff banking privileges. Specific packages vary by employer and seniority level.
How do I apply, and what do employers in Eswatini look for?
Applications are usually submitted through the bank's official careers portal or via advertised vacancies on local job boards, with a CV and cover letter tailored to the role. Employers look for demonstrable technical skills, relevant project experience, and evidence of business impact. Highlighting familiarity with the local financial landscape and regulatory environment gives you an advantage.