Intermediate Data Scientist at FNB South Africa

Job Description

• We are looking for an innovative individual to join the Insights team who is passionate about unlocking the value in data.
• This team defines the data usage across Forex and drives decision making by providing data-driven insights into customers and critical business activities.
• To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.
• Engaging with business to translate business needs into data-driven solutions
• Developing and implementing analytical solutions ranging from simple analysis to more complex solutions
• Developing machine learning models and performing analytics for the various segments in FXPH
• Generating reports with actionable insights to stakeholders
• End-to-end development and maintenance of forex predictive models
• Monitoring analytic solutions/model performance through time, and using feedback to improve results.
• Collaborative relationships within FX and across the FRG to learn, share and leverage data and analytics solutions
• Using data to inform strategic decisions which could increase revenue or reduce costs.
• Using data and analytics to enhance the customer experience as well as identify monetization opportunities.
• Analyzing data and using visualization tools to develop user-friendly interactive views to stakeholders that provides various customer insights
• Extracting, cleaning and integrating data from a variety of sources.
• Developing ETL processes
• Streamlining and optimizing processes
• Documenting processes and analytical solutions
• Ad hoc data and analytics support for day-to-day operations

Requirements:

• Relevant Degree in Data Science, Mathematics, Statistics, Actuarial, Engineering or similar.
• Minimum 3 years of experience in a Data Science/Analytics related role
• High proficiency in SAS, SQL, Python, PowerBi
• Experience in building machine learning models. Proficiency in popular machine learning frameworks
• Strong analytical and statistical knowledge
• Experience in the banking sector would be advantageous
• Good communication skills: Ability to present and communicate technical findings to non-technical audience
• Takes initiative, self-starter
• Quick learner and ability to make improvements to existing processes

End Date: August 29, 2025