You'll be best fit within a finance or compliance
Take a python course. Take a few. Work on a few python data science projects on your own time. Learn how to write a data analytic in python. Download a tax dataset from the web and run that dataset through your analytic. Put that project on your resume. Learn different tax data analysis techniques and algorithms. Learn predictive analysis (predict how likely someone is to sell their house based on tax records). Put all that stuff on resume. Apply for DS positions in accounting firms. I promise you your resume will not be overlooked. I hired an economist for a data role that had python in his skills.
Data science is a broad field: (1) business intelligence (descriptive): a lot of SQL and Tableau or other dashboard tool; (2) predictive: also a lot of SQL and statistical or machine learning methodologies with R or Python; (3) experiments: more SQL and A/B testing or causal inference techniques in Python or R; (4) AI - a lot of Pytorch, Keras, and tensorflow in Python.
Lol before you even get to data science. Try and walk first. This sounds gatekeepey but I assure you that a lot of the work in this field is not even data science. Things you need to learn first. Learn how to get the data (sql) Learn how to manipulate the data (python or R) Brush up on your stats