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16 hours ago
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.
Assist in applying data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions.
Job Summary
- Employer: Standard Bank
- Job Type: Full-time
- Location: Gaborone, Botswana
- Category: Data & Analytics
- Closing Date: 2026-10-16
Key Responsibilities
- Assist in applying data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena.
- Model business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions.
Requirements
- Type of Qualification: First Degree
- Field of Study: Information Studies
- Type of Qualification: First Degree
- Field of Study: Information Technology
- Experience Required
- Data Monetisation
- Data & Analytics
- 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
- – Articulating Information
- – Challenging Ideas
- – Checking Things
- – Examining Information
- – Exploring Possibilities
- – Interacting with People
- – Interpreting Data
- – Meeting Timescales
- – Producing Output
- – Providing Insights
- – Team Working
- Technical Competencies:
- – Data Analysis
- – Database Administration
- – Data Integrity
- – Knowledge Classification
- – Research & Information Gathering
How to Apply
To apply, please visit: jobs.smartrecruiters.com
Frequently Asked Questions
What qualifications or certifications do I need to become a Data Scientist at a bank like Standard Bank in Botswana?
Most employers require a bachelor's degree in Statistics, Computer Science, Mathematics, or a related quantitative field. A master's degree or professional certifications like AWS Certified Data Analytics or Google Data Analytics can strengthen your application. Practical experience with Python, R, SQL, and machine learning frameworks is highly valued in the local market.
What does a typical day look like for a Data Scientist in Botswana's banking sector?
Your day usually involves cleaning and analyzing large datasets, building predictive models for credit risk or customer behavior, and presenting insights to business stakeholders. You will collaborate with IT teams to deploy models and work closely with compliance to ensure data governance standards are met. Reporting deadlines often align with monthly business cycles and regulatory requirements.
How is the work culture for Data Scientists in Botswana, particularly at major banks?
The work culture blends formal corporate structures with growing agility in digital teams. Punctuality and professional dress codes are expected, though tech teams may have more flexibility. Hierarchical respect is important, but data-driven decision making is increasingly encouraged across all levels.
What career progression opportunities exist for Data Scientists in Botswana?
You can advance from Junior Data Scientist to Senior Data Scientist, then to Lead Data Scientist or Data Science Manager overseeing teams. Some professionals transition into specialized roles like Machine Learning Engineer or Chief Data Officer. Regional mobility within Standard Bank's African operations is also a realistic path for high performers.
What benefits are typically offered for Data Scientist roles in Botswana?
Standard benefits usually include medical aid coverage, pension contributions, and annual leave of around 20-25 days. Many banks also offer performance bonuses, study assistance for further qualifications, and flexible work arrangements. Specific packages vary by employer and are often negotiated based on your experience level.
How should I apply for Data Scientist positions in Botswana, and what do employers prioritize?
Apply through company career portals, LinkedIn, or local job boards like CareerPool Botswana. Employers prioritize demonstrated project experience, so include a portfolio with GitHub links or case studies. Strong communication skills matter greatly, as you must translate complex findings for non-technical stakeholders in business units.
