A bachelor's degree in Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, Economics, Engineering, Operations Research or a related quantitative field.
At least four (4) years of relevant experience in data science, advanced analytics, machine learning or applied AI.
Demonstrated experience taking analytical or machine learning solutions from problem definition through validation to production deployment.
Proficiency in Python or R and SQL, with strong knowledge of statistical modelling, machine learning, feature engineering and model evaluation.
Experience in credit, fraud, collections, customer analytics, banking operations or a related business domain will be an added advantage.
A relevant master's degree or professional certification in data science, machine learning, cloud computing or AI will be an added advantage.
Application deadline9 Nov 2026
GK
This is a preview of the role
Sign in to your GoKazini account to see the company name, full job details, salary information, and how to apply.