Data Scientist I 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.

Hello, future Data Scientist I

Role Purpose:

• This role is within the FNB Personal - Customer Sales and Interactions team.
• The purpose is to deliver analytical insights that supports the retail business at large, with special focus on Unsecured Credit Products.
• Some of the core team deliverables refer to sales analytics, insights, and reporting.
• By delivering in our role, we empower strategic conversations to take place and provide guidance to growth.

Are you someone who:

• Has a good understanding of Data Analytics in a large financial services organisation.
• Understands 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 analytical insights.
• Has 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.
• Has strong stakeholder management skills

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
• Intermediate level of proficiency to code in SAS is required.
• Intermediate level of proficiency to code in SQL will be advantageous

End Date: July 19, 2025