Job Description

Requirement: A minimum of 3 years relevant experience in Data Science or Statistical Modelling. Bachelors or Masters Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence or related fields (essential) Experience manipulating and analysing large and complex datasets Experience in visualisation, creating graphical static and interactive displays of data that clearly communicate insight. Good interpersonal communication and presentation skills Understands how AI & ML creates commercial value Ability to manage relationships with stakeholders across the continent Ability to work in a fast-paced environment Analytical and expansive thinking with a strong desire to deliver and develop Experience building and deploying models (Churn, AML, Credit, Fraud, etc.) Experience in major machine learning modelling libraries (e.g., H2O, scikit-learn, PyTorch) and techniques (e.g. random forest, gradient boosting, k-means segmentation...

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