Manager: Data Services

Location: ZA, GP, Johannesburg, Baker Street 30
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 Post Graduate Degree in Information Technology or Information StudiesProficiency in application and web development. Structured and Unstructured Query languages e.g. SQL, Teradata, Qlikview; Tableau, Python, C#, Java, C++, HTMLMasters Degree is preferred8-10 years Experience Description: Proven development experience in software and software engineering. Up to date with developments in the 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 that form the basis for data quality management. Project management experience. Exposure to governance and regulatory matters as it relates to data. Experience in building models (credit scoring, propensity models, churn, etc.)8-10 years Experience Description: 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.Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any from of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or ******
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