Job Vacancies at Absa Group

Job Summary

The purpose of this role is to be responsible for the overall function of the data scientist role is to frame and solve business problems, and pursue business opportunities through a data-centric approach. This approach involves the analysis of big-data and to provide the framework and blueprints in order to design information solutions for various business areas.

Job Description

Key Accountabilities

• To develop and manage propensity models for campaign leads selection.
• To provide monthly and Adhoc leads for campaigns as and when needed.
• To provide analytical insight to the dealer network. Utilize existing data to create insights that assist the dealer network to make strategic decisions.
• To provide analytical insight to internal stakeholders e.g. product, strategy, collections and other various AVAF Exco functions.
• Use machine learning and artificial intelligence knowledge to advice on where ml and AI techniques can be used to drive production uplift, cost reductions and process efficiencies.

Accountability: Frame Problem ⁄Opportunity and Capture Data

• Build and maintain strong relationships with the business and it to develop an understanding of business strategy and objectives, identifying the implications to define the data modeling goals for designated project areas
• Lead the data acquisition, data mining, and overall project management duties related to one or more existing analytics project areas partner with business to identify inefficiencies and potential root causes
• Design, develop and establish the relevant frameworks, models and business practices to drive the data-centric approach to understanding current business problems and strategy, with the provision of input into solutions

Accountability: Communication

• Ensure that all data analytics and design are communicate in a business related manner ensuring a constant link between how data inputs and outputs affect business strategy and outcomes
• Create and deliver business-oriented insights as to where the problems ⁄opportunities lie and how resources may best be allocated to engage with those

Accountability: Analytics and Data modelling

• Meet with business unit representatives to identify, interpret and document ⁄review business requirements and needs aligned to the strategic direction of the organization
• Understand business concerns or problems both strategic and operational and map and translate business problems into trackable analytical problems, relaying results in common business language with managerial implications
• Analyze data across multiple systems and multiple formats and provide analytics and information that provide integrated views necessary to assist with business concerns
• Perform formal quality assessment of requirements with business and project manager where applicable
• Develop and analyze analytical data sets across multiple sources of data, creating meaningful visualizations and design and implement creative approaches to predictive modeling problems
• Design, develop and run model assessments, validation, enhancement activities and balancing procedures to ensure integrity of data
• Partner with it to effectively migrate analytical models from prototype to production
• Design and drive integration and application of analytical model results with business partners, ensuring benefits realized

Education

• Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies (Required)