AML Data Scientist

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, multiple regression, factor analysis, time-series forecasting)
- Familiarity with visualisation tools (e.g. Tableau, Qlik, Power

BI)
- Experience working with large datasets (e.g. SQL, Spark, SAS)
- Proficiency in at least one relevant programming language:
Python, R