Data Scientist II

FNB South Africa; Randburg; On-site; ZAR 500,000 - 700,000; Full time

Job summary

A leading financial services company is seeking a Data Scientist II in Gauteng, Randburg. The role requires advanced analytical skills to drive business growth through data insights. Ideal candidates will have a strong foundation in mathematical sciences, coding skills in Python, R, and SAS, and a minimum of 3-5 years of relevant experience. This position offers a chance to shape the future of Retail banking through innovative data solutions.

Qualifications

• Minimum 3-5 years of relevant experience.
• Intermediate to advanced coding skills.
• Experience in advanced analytical techniques.

Responsibilities

• Plan, build, and optimize quantitative analytical methodologies.
• Explore data sources using advanced analytical techniques.
• Drive impactful changes using data insights.

Skills

Creative problem solving

Data-driven decision making

Stakeholder management

Collaboration

Education

Minimum B Degree in Mathematical Sciences, Statistics, or related

Honours Degree

Tools

Python

R

SAS

Job description

Overview

Job title: Data Scientist II

Job Location: Gauteng, Randburg

Deadline: October 05, 2025

End Date: September 27, 2025

Responsibilities

• 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.
• Join our dynamic Nerve Centre Team, the epicenter of Sales data, analytics, and insights for FNB Retail Customer and Sales Interactions.
• This pivotal role involves exploring a wide range of data sources and using advanced analytical techniques to find gaps, improve business processes, and discover new growth opportunities. By analyzing diverse data sources and uncovering valuable insights, your work will drive strategic discussions and support key growth initiatives across Retail banking. By leveraging data effectively, the team is transforming the future of Retail banking and making a significant impact on the business.
• The successful candidate will be empowered to think creatively, take ownership of projects, and present findings to leadership forums.
• Using advanced analytics and predictive modeling, their insights and recommendations will drive impactful changes across Retail banking.
• This is a chance to make a significant difference and shape the future of Retail banking with data expertise.

Team Culture and Values

• Innovation: Creativity and innovation are at the heart of the team's approach. The team encourages exploring new ideas, experimenting with cutting-edge technologies, and continuously seeking better ways to solve problems and drive business growth.
• Collaboration: The Nerve Centre Team thrives on collaboration. Team members work closely together, sharing knowledge and supporting each other to achieve common goals. Open communication and teamwork are highly valued.
• Impact-Driven: The team is focused on making a meaningful impact. Every project and analysis are aimed at driving positive changes and contributing to the overall success of Retail banking.

You\'ll be an ideal candidate if you :

• Never satisfied with the status quo.
• Produce innovative ideas and solutions based on data. Stating assumptions and overcoming challenges.
• Self-driven and able to own their projects.
• Able to collaborate effectively with different stakeholders.
• Have a growth mindset aimed at continuous learning and self-improvement.
• Open-minded and enjoy problem solving.

Qualifications and Experience

• Minimum Qualification: B Degree in Mathematical Sciences, Statistics, Actuarial Science or similar related degree
• Preferred Qualification: Honours Degree
• A minimum of 3 - 5 years\' relevant experience.
• Intermediate to advanced coding skills in Python, R, and SAS
• Intermediate knowledge on advanced analytical techniques e.g., statistical methods, segmentation, optimisation, experimental design
• Solid experience in CVM Data analytics and insights, Triggers, Features and Reporting is preferred.
• Demonstrated experience in engaging and managing key stakeholder relationships across various levels
• Proven experience with Machine learning and A / B Testing will be advantageous