Data Scientist at FNB South Africa

Job Description

• To build, optimise and implement innovative quantitative analytical methodologies, procedures, and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, under guidance against predicted results and deliver according to set processes and procedures.
• This role is within the FR Life Assurance. The purpose is to deliver analytical insights that supports the business at large. Some of the core team deliverables refer to Customer Engagements, Customer Segmentation and Data Feature Engineering. This is achieved through robust data modelling and analysis as well as statistical modelling. 

Key responsibilities: 

• Good understanding of Data Analytics in a large financial services organisation. 
• Understand both the technical points of Data Management and Analytics, as well as the business drivers and needs. 
• Understands how to work with big data and transform data to be suited for modelling or other analytical insights. 
• Strong technical and coding proficiency (SAS & SQL). 
• Hard working individual that can work well under pressure. 
• Able to translate business requirements into tangible, creative solutions with guidance. 
• A team player, you believe in the power of teams, building and leveraging your networks. 
• Emotionally intelligent, you are able to connect with people to build trust. 

As a #Changeable you will have access to: 

• Opportunities to network and collaborate. 
• Opportunities to innovate. 
• Flexible working environment 
• Focus on health and wellbeing. 
• Coaches and mentors to help with your professional development. 
• A generous leave policy to cater for your individual needs. 
• Preferential employee banking rates that include Vehicle and Home loans 

Qualification and Experience 

• Minimum Qualification: B Degree in Mathematical Sciences, Statistics, Actuarial Science or related degree 
• Preferred Qualification: Honours Degree 
• Experience: 1 - 2 years’ experience within Data Analytics or Customer Analytics 
• Experience in Model development, maintenance and optimisation of existing models will be advantageous. 
• Intermediate level of proficiency to code in SQL is required 
• Intermediate level of proficiency to code in SAS will be advantageous 
• Intermediate skills in Python or R would be beneficial 

End Date: September 11, 2026