Data Scientist

Job Description

To plan, build, optimise and implement innovative advanced analytical solutions tailored to the WesBank Fleet Management and Leasing (FML) business, which provides comprehensive vehicle leasing and fleet management services to clients. The FML business operates at the intersection of asset finance, operational efficiency, and customer-centric service delivery, requiring robust data-driven insights to support pricing, risk, and strategic decision-making.

Innovate by finding the best fit solution for the situation such as the flexibility of delivery and customized solutions which result in more efficient outcomes.
- Provide input into localisation of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.
- Adhere to model building policies, standards, frameworks, and governance process.
- Ensure own ethical usage of information that complies to restrictions applied for privacy and sensitivity classification.
- Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.
- Ensure reporting of any Information Privacy Incidents and escalate appropriately for resolution of Privacy and Protection Audit Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.
- Create delivery plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.
- Analyse available data to identify information commercialisation opportunities that have not been explored to address business needs and revenue options.
- Productionize analytics in the approved FirstRand architecture by translating technical data information into practical business information that addresses identified needs.
- Analyse information requirements, availability and quality of data to feed into management for resolution.
- Contribute to the development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques and utilise as appropriate.
- Collaborate with numerous departments across the business to aid them in the proper use of data to ensure delivery of desired operational results.
- Participate in relevant project related to the business overall analytical needs and opportunities.
- Build models that analyse processes to recommend areas for optimisation to achieve cost savings, revenue generation or efficiency improvements for the business.
- Document and audit relevant processes.
- Document and implement models to address specific business requirements.
- Conduct appropriate manipulation and analysis of data to pro-actively identify and meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.
- Implement Machine learning mathematical algorithms and automation techniques using open-source programming languages such as SAS or Python libraries.
- Utilise advanced Predictive modelling techniques to hold insight into outcomes and future events thatmconfront key assumptions.
- Utilise data to model complex abstractions in machine learning research to enable deep learning.
- Utilise pattern recognition technology to recognizes patterns in data and the criteria for use interchangeably with machine learning technology.
- Conduct Text analytics to examine unstructured data to glean key business insights.
- Understand principles of Data Wrangling to identify and recommend corrective actions for imperfections in data quality.
- Participate in enterprise-wide high level problem resolution by interacting with relevant engineers and product managers, utilising appropriate methods and decide when approximations make sense.
- Conduct data visualisation to present data, findings and techniques to audiences, both technical and nontechnical in a pictorial or graphical format so it can be easily analyzed utilising principles of visually encoding data and communicating information.
- Maintain ownership of models through regular audits and updates to ensure relevance.
- Plan and perform regular model updates that capture evolving business complexity in current models.
- Challenge current models to ensure relevance and accuracy of outputs.
- Test outputs and accuracy of models to ensure relevance.
- Use data and analytic insights to provide input into improving customer experience through a better understanding of the customers context to identify monetization opportunities and monitoring implementation of business decisions to recommend enhancements utilizing statistical modelling and data analysis.
- Validate, interpret and create reports and presentations for data analytics management and relevant stakeholders.
- Review and assist more junior Quantitative Analysts with processes and models.
- Participate and contribute to a develop