Data Scientist II

Job Description

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.

Hello, Future Data Scientist II

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

All appointments will be made in line with the FirstRand Group's Employment Equity Plan. The Bank actively supports the recruitment and advancement of people with disabilities. We encourage that candidates voluntarily declare their disability and consult the Bank should they require reasonable accommodation.

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Job Details

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

27/09/25

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.