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I changed my profile from RPA developer to data scientist (primarily on ML/NLP) 2 year ago and i faced following challenges:
1. The data science and analytics field is vast and rapidly evolving. It is not possible to study everything.
2. Not every job in the field will match your skill set don't be shy to apply there until you find the one that matches your skill set.
3. Many times we understand the code implementation because of the standard libraries but not the actual concepts. Focus on basics concepts and algorithms.
4. In lot of interviews they ask to write python codes with easy to moderate difficulty (I think you can be at advantage here)
5. Some jobs demands knowledge of many different technologies such as SQL, python, data science concepts, Power BI, cloud, etc. so you will have to put extra efforts to learn these things. You don't have to learn everything though.
All the best for your career transition!