I submitted a manuscript and have received the following comment I am not sure how to adequately answer. The context is that I have a table comparing a set of "scores" between men and women to see if there are any gender biases. I performed a Mann–Whitney U test to determine if there is a statistical difference between the male and female datasets. The reviewer said: "I would like to see effect size estimates with confidence intervals so readers can more easily interpret the gender disparities".
How can I compute an effect size estimate given the type of data I am dealing with? The data does not follow a normal distribution. For reference, I am using Python for my data analysis.
Edit: I see that one way to get the effect size from the Mann-Whitney U test is to take the U value and divided by the product of the two sample sizes. I can easily do this, although I do not entirely know how to interpret the results if this is indeed accurate.