Upon reading a CSV file with schema inference enabled, I've noticed that a column originally designated as string datatype contains numeric values with leading zeros. However, upon reading the data to Pyspark data frame, it undergoes automatic conversion to integers, resulting in the removal of the leading zeros.

How can I resolve this issue without passing the external schema while reading.