Background: Bachelors degree in Data Science, Statistics, Computer Science, or a related field.
valuable information from large datasets Apply statistical techniques and hypothesis testing to validate experience with machine learning, deep learning, and statistical analysis Proficiency in data analysis and machine
returns. Analyse and interpret finance reports and statistical data. Investigate and action financial variances with value -added tax administration. Review statistics returns. Support process of Provisional/Income
returns. Analyse and interpret finance reports and statistical data. Investigate and action financial variances with value -added tax administration. Review statistics returns. Support process of Provisional/Income
time-to-fill, candidate quality, and diversity statistics, to track progress and identify areas for improvement
time-to-fill, candidate quality, and diversity statistics, to track progress and identify areas for improvement
Experience Advantageous.
focus on financial mathematics, accounting, or statistics, and a keen interest in transitioning toward