Data Scientist I at FNB South Africa

• As a Data Scientist in Collections, you will be looking after the end-to-end platform process ensuring strategy development and implementation, increased collections interactions and campaigning through Cortex rails by ensuring that the right tools are in place to enable customers to self-solve.
• You will be responsible for developing data driven insights and analytics that advise business on strategy formulation, influence how collections are executed on platform while having a direct input on the customer messaging.

Why This Role Matters

• The platform capability remains a critical component of our business, supporting increased customer interactions on the app and reducing operational costs by enabling customers to self-serve
• Improving the display and accessibility of collections offers, rehabilitation offers and targeted educational content on the FNB app
• Combining decisions and technology ensures that business strategies are fit for purpose and ensures future readiness

What You Will Be Tasked to Do

• Integration of business models and analytics value chain onto platform
• Conduct data visualisation to present data, findings and techniques to audiences, both technical and nontechnical
• Drive customer interactions through ad hoc Adobe campaigns and treatment strategy deployment
• The utilisation of the offers engine to improve collections, relief applications, and customer engagement
• Increasing the availability and ranking accuracy of offers
• Promoting good lending practices by managing the purging of credit offers for the risky customer segments
• Converting and automating off-platform initiatives
• Engaging data teams to ensure relevant data is available for platform execution via the DataMart
• Ensuring data processes run from the DataMart and are automated with minimal human intervention
• Improving self-service collections and read content use cases using AI
• Collaborating with the BI team to enhance data quality and automation
• Identifying and resolving process gaps or breakages to reduce customer complaints and mitigate reputational risk
• Assisting with customer and data queries to resolve operational issues
• Enhancing and automating platform reporting to highlight benefits across KPIs such as interactions, arrears volume/value, cash collected, collection rates, click rates, and delinquency performance
• Leading the requirements-gathering and testing processes ahead of platform loads
• Working with multiple stakeholders to deliver key platform solutions
• Participate and contribute to a development culture where information regarding successes, issues, trends and ideas are actively shared
• Build and sustain collaborative working relationships with relevant peers and stakeholders to achieve productivity synergies
• Ensure implementation of relevant policies, governance and practice standards across the business

Minimum Job Qualification

• Bachelor of Science Degree in Mathematics & Statistics, Actuarial, Quantitative Risk, BMI
• Bachelor of Science with Honours Mathematics or Statistics (Advantageous)

Experience

• 2/3+ years’ experience
• Coding in SAS, SQL
• Proficient in Microsoft Tools (Word, PowerBi, Excel, PowerPoint)
• Python, Spark and R would be advantageous

End Date: February 19, 2026