Data Science_I at FNB South Africa

• First Advertising is a new and vibrant team within First Rand Bank and FNB. We are looking for individuals that are excited about contributing towards a new and exciting Financial Media Network to support our digital advertising strategy with your analytical prowess.

Role Responsibilities 

• To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities for FNB and it’s partners and implement digital advertising campaigns to drive business results. 

Are You Someone Who Can 

Customer Experience & Strategic Insights 

• Use data and analytics to improve customer experience by understanding context and identifying monetisation opportunities. 
• Monitor implementation of business decisions and recommend enhancements using statistical modelling. 
• Validate, interpret, and create reports and presentations for stakeholders. 
• Contribute to a culture of sharing successes, issues, trends, and ideas. 

Data Analysis & Commercialisation 

• Create delivery plans in collaboration with stakeholders to define metrics and track performance. 
• Analyse data to identify unexplored commercialisation opportunities aligned with business needs and revenue options. 
• Translate technical data into practical business information using approved FirstRand architecture.  Specifically using Google Cloud Platform technology capabilities across BigQuery, Python notebooks and Looker Studio 
• Analyse information requirements, data availability, and quality to support management decisions. 
• Conduct data manipulation and analysis to proactively meet business needs and ensure high-quality, reliable information. 

Advanced Modelling & Machine Learning 

• Develop core analytical capabilities and model libraries using advanced statistical, quantitative, or econometric techniques. 
• Document and implement models to address specific business requirements. 
• Apply statistical techniques to support decision-making and experiment design. 
• Use mathematical concepts (e.g., multivariable calculus, linear algebra) to improve predictive performance and algorithm optimisation. 
• Implement machine learning algorithms and automation using open-source languages like BigQuery or Python. 
• Apply data wrangling principles to identify and correct data quality issues. 
• Build and program statistical models for application development and productionisation. 
• Utilise pattern recognition and deep learning techniques in machine learning research. 

Model Development & Analytics Governance 

• Innovate by finding the best-fit solutions for each situation, including flexible delivery and customized solutions that lead to more efficient outcomes for First Advertising Clients and partners 
• Maintain ownership of models through regular audits and updates to ensure relevance and accuracy. 
• Challenge and test current models to ensure relevance and accuracy of outputs. 

Privacy, Ethics & Compliance 

• Ensure ethical usage of information and data in compliance with privacy and sensitivity classifications. 
• Understand and implement Privacy business requirements, legislation, and policy. 
• Report Information Privacy Incidents and escalate appropriately for resolution of audit findings, complaints, investigations, and assessments. 
• Take necessary actions to ensure compliance with statutory, legislative, policy, and governance requirements. 
• Implement and provide input into governance and compliance procedures and processes. 
• Ensure systems and procedures comply with business standards. 

Collaboration & Stakeholder Engagement 

• Collaborate across departments within First Advertising to ensure proper use of data and delivery of operational results. 
• Collaborate across departments within CSI and FNB to ensure proper use of data and delivery of operational results. 
• Participate in projects addressing analytical needs and opportunities. 
• Serve as a subject matter expert (SME) for analytics, applying business product/service knowledge. 
• Engage in cross-functional relationships to provide and receive work support. 
• Build and sustain collaborative relationships with peers and stakeholders. 
• Participate in communities of practice and contribute to organisational knowledge improvement. 
• Build relationships to manage expectations, share insights, and create buy-in. 

Technical Communication & Visualisation 

• Conduct data visualisation to present findings to technical and non-technical audiences using effective visual encoding principles. 

Analytics Strategy & Execution 

• Determine business questions and select appropriate analytics models. 
• Source and prepare relevant data for analysis. 
• Translate business requirements into tangible models with clear business value. 
• Develop and apply analytical algorithms to build, test, and implement solutions that reduce risk, increase profitability, and improve efficiency. 

Qualifications and Experience 

• Minimum Qualification: Mathematical/Analytical/Actuarial Science B.Sc. Degree or B. Com Degree 
• Other related qualifications: Engineering and Computer Science 
• Advantageous Qualification: Honours Degree 
• Experience: A minimum of 1 - 3 years’ experience in analytics environment 
• Tech Stack: Google Cloud Platform, Google BigQuery, Python, Looker Studio 
• Advantageous Tech Stack: SQL, PySpark 
• Good communication skills 
• Good interpretation skills 
• Quantitative and analytical skills 

End Date: December 1, 2025