Manager, Data Science at Standard Bank Group

Job Description

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.

Qualifications

Minimum QualificationsType of Qualification: First Degree
Field of Study: Information Studies

Experience Required
Technology
Technology Business Partnering
Experience Required: 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.)
Data & Analytics
Data Monetisation
Experience Required: 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.

Additional Information

Competencies:

• Exploring Possibilities
• Providing Insights
• Adopting Practical Approaches
• Examining Information
• Interpreting Data
• Challenging Ideas
• Articulating Information
• Interacting with People
• Team Working
• Checking Details
• Meeting Timescales
• Producing Outputs
• Knowledge Classification
• Database Administration
• Diagramming & Modelling
• Research & Information Gathering
• Data Analysis
• Data Integrity