Standard Bank Manager, Data and Behavioural Science Jobs in South Africa
Standard Bank Manager, Data and Behavioural Science Jobs in South Africa
Job Purpose This role will apply AI/Machine learning techniques to develop data products/solutions that help to deliver personalized client experiences across customer channels to create meaningful connections with the brand, deepen client relationships and drive commercial outcomes.
Key Responsibilites
Data
Directs the gathering of data for use in Data Science models, ensuring that chosen datasets best reflect the organisations goals.
Performs data pre-processing including data manipulation, transformation, normalisation, standardisation, visualisation, and derivation of new variables/features. Utilises advanced data analytics and mining techniques to analyse data, assessing data validity and usability; reviews data results to ensure accuracy; and communicates results and insights to stakeholders
Product
Creates, maintains, and optimises modelling solutions that enable the forecast of quality data outcomes
Ensures that volumetric predictions are modelled so that resource requirements are optimally considered
Risk, Regulatory, Prudential and Compliance
Provides input into Data management and modelling infrastructure requirements and adheres to the organisation’s infrastructure development processes, including the management of User Acceptance Testing
Conducts regression testing across all relevant systems as required
Client
Ensure business integration through integrating model outputs into end-point production systems, where requirements must be understood and adopted relating to data collection, integration and retention requirements incorporating business requirements and knowledge of best practices
Technology and Infrastructure
Builds machine learning models from and utilises distributed data processing and analysis methodologies
Competent in Machine Learning programming in R or Python, with supplementary still in Matlab, Java, etc
People
Acts as a subject matter expert from a data science perspective and provides input into all decisions relating
to data science and the use thereof
Educate the organisation on data science perspectives on new approaches, such as testing hypotheses and statistical validation of results
Qualifications
Completed Information Technology/Informatics, Computer Science/ Data Science/ Analytics Degree.
Proficiency in programming languages:Python or R, SQL or SAS; proficiency in visualization tools: Power BI or Qliksense and proficiency in developing & deploying robust AI/ML models using Hadoop stack/ Azure Data Bricks/ SAS Analytics stack.
Minimum 5-7 years proven development experience in AI/Machine learning models (e.g., credit scoring, propensity models, churn, network graphs etc.) across the data science life cycle and understanding of development and documentation of working strategies for client journey optimization(using AI/ML) that impact key business objectives, revenue, and cost savings.
Minimum 5-7 years understanding of financial services or telecommunications data process , products, and systems and project management experience.
Exposure to governance and regulatory matters as it relates to data and exposure to leading teams throughout DSLC(Data Science Life cycle) project delivery.
How to Apply
For more information and job application details, see; Standard Bank Manager, Data and Behavioural Science Jobs in South Africa
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