Senior Manager, Data Science at Standard Bank Group

JOB DESCRIPTION

• Oversee data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model complex 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. Oversee predictive modelling.

QUALIFICATIONS
Minimum Qualifications

• Type of Qualification: Post Graduate Degree
• Field of Study: Information Technology
• Type of Qualification: Post Graduate Diploma
• Field of Study: Information Studies

Experience Required

• Data & Analytics 8-10 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 visualization tools, such as Power BI, Tableau, etc.
• 8-10 years proven development experience in software / software engineering. Up to date with developments in IA field.
• Experience in technical business intelligence; in depth understanding of the banks data processes, systems and products.
• Knowledge of IT infrastructure and data principles forming the basis for data quality management.
• roject management experience. Exposure to data governance and regulatory matters. Experience in building models (credit scoring, propensity models, churn, etc

ADDITIONAL INFORMATION
Behavioral Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Details
• Examining Information
• Exploring Possibilities
• Interacting with People
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working

Technical Competencies:

• Data Analysis
• Data Integrity
• Database Administration
• Knowledge Classification
• Research & Information Gathering