Intermediate Data Scientist at FNB South Africa

Job Description

• We are seeking a Data Scientist to own the end-to-end pricing monitoring and revenue assurance function.
• You will design and maintain analytical frameworks to track pricing performance, detect anomalies, and safeguard against revenue leakage.
• Your insights will enable timely interventions, protect margins, and drive continuous improvement across pricing operations.
• You will require pricing experience, understanding operations and end-to-end pricing implementation, from determination to charging a client.
• Develop and maintain pricing dashboards and automated reports to track rate cards, discounts, and promotions
• Implement statistical and machine-learning models to identify outliers, pricing errors, and revenue leakage risks
• Set up alerting mechanisms that flag irregular price movements or process deviations in near real time
• Partner with finance, sales, and product teams to investigate issues, root-cause anomalies, and recommend corrective actions
• Continuously refine data pipelines, validation rules, and anomaly detection thresholds to enhance accuracy
• Conduct ad-hoc analyses to support pricing strategy, margin optimization, and revenue growth initiatives
• Document methodologies, assumptions, and controls to ensure auditability and compliance
• Maintain expert knowledge on relevant legislative amendments, industry best practices and internal compliance procedures and requirements.
• Ensure compliance is adopted in terms of systems and procedures as laid out by business.
• Implement and provide input into the development of governance and compliance procedures and processes within area of specialisation and identify risks.
• Innovate by finding the best fit solution for the situation such as the flexibility of delivery and customised solutions which result in more efficient outcomes.
• 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 monetisation opportunities and monitoring implementation of business decisions to recommend enhancements utilising statistical modelling and data analysis.
• Adhere to model building policies, standards, frameworks, and governance process. Assist in developing pricing models by performing analyses and manipulations through data extracted from relevant sources
• and submit to various committees and stakeholders to inform business decisions.
• Contribute to the development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques and utilize 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 businesses overall analytical needs and opportunities.
• Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.
• Deliver customer experience excellence in own service delivery aligned to Organisational values and service standards.
• Perform ad hoc requests e.g. trend analysis, behaviour analysis and compare with finance forecast/actuals.
• Resolve pricing queries by providing required advice, or attending to and resolve issues on the system.
• Conduct maintenance and data integrity checks of the pricing database and maintain all new pricing codes on the system.
• Ensure the Product Schedule is always up to date
• Monitor system updates via the exception reports.
• Implement, monitor and control business processes according to quality standards; policy; and compliance and governance requirements in area of accountability.
• Provide input into business requirements.
• Provide advice on pricing related matters to assist with delivery of the project.
• Monitor the progress of projects and provide feedback to relevant stakeholders on the status thereof.

Experience and Education Required

• Mathematics and Statistical Degree
• 4-5 Years Experience within a Data Science Role

End Date: September 15, 2025