Gaborone, South-East District, Botswana
Live, first seen by us 26 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Apply data mining and statistical analysis to large structured and unstructured data sets
Model business problems using statistical, algorithmic, machine learning and visualisation techniques
Work with clients, data and technology teams to turn data into information for business decisions
Implement standard and proprietary algorithms for handling and processing data
Build credit scoring, propensity and churn models
Assist in applying data mining techniques and conduct statistical analysis to large, structured and unstructured data sets
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
Implement standard and proprietary algorithms for handling and processing data.
Experience in building models (credit scoring, propensity models, churn, etc.)
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.
Experience with common data science toolkits, such as SAS, R, SPSS, etc.
Experience with data visualisation tools, such as Power BI, Tableau, etc.
Type of Qualification: First Degree Field of Study: Information Studies
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Day 26
Similar jobs usually come down between day 7 and day 57.
Well past Standard Bank Group’s usual: its jobs come down by about day 8.
From 10,753 similar postings that came down, and 48 of Standard Bank Group’s. Coming down is not always a hire.
7 open jobs
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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
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Yes. We’ve followed 3 other Data Scientist jobs there since October 2026. 3 came down, usually after about 8 days.
Large employers often post one title for several teams, so these can be separate openings.
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
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:
Technical Competencies:
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.
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Gaborone, South-East District, Botswana
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