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17 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 banks require a bachelor's degree in Statistics, Computer Science, Mathematics, or a related quantitative field. A master's degree or professional certifications like Certified Analytics Professional (CAP) or AWS Certified Machine Learning can strengthen your application. Proficiency in Python, R, SQL, and data visualization tools is typically essential.
What are the typical day-to-day responsibilities of a Data Scientist in Botswana's banking sector?
You will spend much of your time cleaning and analyzing large datasets to identify trends and build predictive models. Daily tasks include collaborating with business units to solve problems, presenting insights to stakeholders, and maintaining data pipelines. You may also work on credit risk models, customer segmentation, or fraud detection systems.
How does workplace culture in Botswana's banking sector affect Data Scientists?
Botswana's banking sector values professionalism, punctuality, and respect for hierarchy. Data Scientists are expected to communicate complex findings clearly to non-technical managers and work within structured teams. Dress codes are typically formal, and relationship-building with colleagues across departments is important for project success.
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 Analytics Manager. Some professionals move into specialized roles like Chief Data Officer or transition into broader technology leadership. Continuous upskilling in machine learning and business strategy accelerates promotion prospects.
What benefits should I expect as a Data Scientist working for a major bank in Botswana?
Major banks typically offer medical aid coverage, pension contributions, and annual leave in line with Botswana's labour laws. Additional benefits may include performance bonuses, professional development allowances, and group life insurance. Specific packages vary by employer and your level of experience.
How do I apply for Data Scientist roles at banks in Botswana, and what do employers prioritize?
Apply through official bank career portals, LinkedIn, or reputable recruitment agencies like HRMC and CV People Africa. Employers prioritize demonstrated project experience, so include a portfolio showcasing real-world problem solving. Strong references and proof of local market knowledge give candidates a competitive edge.
