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Hi,
I'm currently a junior data scientist at an insurance company. My role is primarily focused on building GBM models, and most of my work goes into selecting what variables make it into the final model through output analysis.
I've been seeing that most companies nowadays want some level of experience with LLMs, AI, or agentic workflows, and quite frankly I have no ideas for how I can get that experience in my current role. This isn't a role I really want to stay in (for a variety of reasons) and I'm really looking to set myself up for other DS type roles.
Does anyone have any suggestions for what kind of optimizations, improvements or changes to my workflow that I could make to get some level of that experience? Especially if you are currently working as a DS with that kind of experience, I'd really appreciate it!