Data Scientist at FNB South Africa

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, Data Scientist
• Welcome to FNB, the home of the #Changeables.
• We design for the shapeshifters and deliver products and services that make us incredibly proud of the people that make it happen. The successful candidate will be empowered to think creatively and take ownership of their work. They will generate actionable insights and recommendations that influence change across Retail.

You will be an ideal candidate:

• If you are never satisfied with the status quo.
• Able to produce innovative ideas and solutions based on data.
• Able to state assumptions and overcome challenges.
• Self-driven and able to own projects.
• Able to collaborate effectively with various stakeholders.
• Have a growth mindset aimed at continuous learning and self-improvement.

We can be a match if you are:

• Curious & courageous – you’re driven by always wanting to know more and learn more and you’re brave enough to take action.
• Obsessed with mastery – you know what it takes to become good at what you do and are constantly pushing yourself to achieve this.
• 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.

Qualifications and Experience

• Minimum Qualification: Have a relevant Degree in Mathematical Sciences, Statistics, Engineering and/or Econometrics.
• Preferred Qualification: Honours Degree
• Experience: A minimum of 3 years' relevant experience.
• Has relevant experience in digital marketing platforms, data analytics, and Google Cloud Platform (GCP).
• Intermediate to advanced coding skills in SAS.
• Intermediate knowledge on advanced analytical techniques e.g. statistical methods, segmentation, optimization and experimental design.
• Leadership experience of people or projects will be advantageous.