Working in insurance as a Senior Actuarial Data Scientist, I get to use machine learning algorithms like Random Forests and XGBoost to enhance actuarial models and other insurance business processes. As part of risk management, my work also means balancing the needs of multiple parties when presenting data science insights. Jobs, sales commissions, profits and losses are all at stake when implementing that sexy new predictive underwriting system.
I also teach Python programming and Data Science at General Assembly. Part of this job is to provide career-coaching to my aspiring data science students - they need all the help they can get for their mid-career switches and to grow in confidence in their new-found data science skills and knowledge. This ties in with my volunteer role of Reflective Practitioner with the IFoA, where I discuss about professional development with fellow actuaries.
My guilty pleasure is buying books (which I hardly have time to read). I learn by building/doing and get a kick out of programming. Sooooooo ready to embark on creating my own interpreter and compiler - 'Crafting Interpreters' here I come!