Quantitative Python Programmer (with strong applied AI knowledge)

Note: this is a first milestone out of many. Depending on what AI can really do. But also further more complex(statistical) calculations will be added to this template. We have an Excel calculation template which we want to transfer to Python. The template only consists of very simple calculations(+, -, *, / ), its mostly about accumulating calculations of the records into a simple table overview. The same simple calculations are being made for a set of records which are seperate in that they can be from a different product type, different channel type etc. The main goal of transfering this to Python is the following: - We want to be able to get a comparision of two of these templates. Meaning we want a table as well as a visual presentation(waterfall graph) explaining the differences - We want to show the use of AI. Are there AI functionalities in Python(in Spyder?)? For example that AI tells what the best performing products are, or that you can write a prompt and get a certain shock scenario output. Requirements: - Mathematical/ quantitative background (the calculations are extremely simple but we want people who can structure data very well) - High Python visual skills, being able to make very high quality table and graph output displays - Being able to demonstrate effective AI Python functionalities