Job Description
Apply 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. Execute intelligent automation and predictive modelling.
Qualifications
Type of Qualification: First Degree
Field of Study: Information Studies
Type of Qualification: First Degree
Field of Study: Information Technology
Experience Required
Data & Analytics
5-7 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.
5-7 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. Exposure to governance and regulatory matters as it relates to data. Experience in building models (credit scoring, propensity models, churn, etc.).
Additional Information
Behavioural Competencies:
Technical Competencies:
Careers
Are you passionate about Africa's potential? Are you driven to win? At Standard Bank Group, a team of over 50 000 dedicated individuals share one common purpose: Africa is our home, we drive her growth. We believe our people are our greatest asset, and we strive to create a thriving environment where you can bring your whole self to work, pursue your dreams, and see your ideas shape a brighter future for Africa. Join us, if you're ready to turn your passion into impact and make a real difference as part of a dynamic team.
Manager, Data Science • Accra, Greater Accra Region, GH
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