In recent years, hydrogen has been an attractive substitute as an energy carrier to fossil fuels, though it isdifficult to store by conventional means. Ionic Liquids (ILs) are low-melting salts with varying propertiesof interest. Experimental investigations into the utilization of ILs as hydrogen storage mediums are stillongoing. This study aimed to predict the solubility of hydrogen in ILs using the data analytics method, whereby the correlations between the ILs' requisite hydrogen properties and hydrogen solubility weredeveloped and validated. The methodology involves comparing the experimental data from the literatureand the simulated data from COSMO-RS software, where predictive correlations were developed usinganalytical software such as Python. The predictive model can be used to predict the hydrogen solubility ofILs based on the input inherent thermophysical properties of the IL before a particular IL is synthesizedand tested in an actual laboratory setting. Copyright © 2023 Society of Petroleum Engineers.