Data Scientist (Junior to Senior) | FNB South Africa
Job Location : Gauteng, Johannesburg
Deadline : April 01, 2026
About the Role
This high-RPM technical role drives institutional innovation by managing massive datasets and developing predictive models to mitigate operational risk. Utilizing AWS for scalable data processing and Oracle for enterprise-level data warehousing, the scientist ensures 100% compliance with POPIA and data ethics. Their leadership leverages data to optimize credit scoring, fraud detection, and personalized banking experiences for millions of clients.
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.
Are you someone who can:
- Get dirty with the data and create insightful views.
- Find answers to business problems using the data
- Chat to stakeholders to understand requirements better; build relationships with them
- Produce consistently high-quality outputs within agreed deadlines
- Summarise and present your insights in a manner that is easy for your stakeholders to understand
You will be an ideal candidate if you:
- Have a qualification in Mathematics, Actuarial Science, Statistics, Engineering, Computer Science or similar
- Have 1 – 3 years in a similar data scientist environment (Data Scientist I)
- Have 3 – 5 years in a similar data scientist environment (Data Scientist II)
- Have 5+ years in a similar data scientist environment (Data Scientist III)
- Have experience with predictive modelling (beneficial)
- Have experience in pricing between product houses
- Have experience with acquisitions
- Are experienced in SAS and SQL
- Have exposure to Python, PowerBI and R
End Date: April 1, 2026
Career Growth & Education
A degree in Data Science, Statistics, Mathematics, or Computer Science is mandatory, with growth accelerated by mastering machine learning and Python. Career progression leads toward Lead Data Scientist or Chief Data Officer roles within the global finance and tech sectors. Pursuing specialized bootcamps in AI integration and obtaining advanced certifications in cloud architecture through professional workshops provides a path to elite high-paying global roles.
Salary & Financial Insight
Monthly salaries range from R45,000 to R135,000, reflecting the high technical complexity and demand for data expertise. High-income tech professionals should prioritize professional wealth management and offshore equity investments to manage their capital effectively.
Interested and Qualified candidates should Click here to Apply Now
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