From Academia to Data Scientist: How to Leverage Your Existing Skills?
Transitioning from academia to data science may initially appear daunting, yet it’s a path that resonates with many academics. You’re not alone in this journey! Surprisingly, a significant portion of data scientists hold doctoral degrees, with 21.7% reported to have completed a PhD according to data from the “365 Data Science” portal. In my own experience, I’ve observed that a majority of the data scientists I’ve worked with completed doctoral qualifications. However, despite these encouraging statistics, navigating the shift from academia to industry can still feel intimidating. Employers are often worried that the lack of industry experience can make it hard for you to adapt to a new role within their company. In this article, we’ll list skills gained in academia you could use to thrive in the world of data science. Whether you’re a recent PhD graduate or a seasoned researcher contemplating a career shift, this article aims to provide valuable insights and practical advice to facilitate a smooth transition!
My Story
I relocated to the UK ten years ago to pursue a degree in Psychology, followed by a decision to do a degree of Masters in Neuroscience. Initially, my career plans were firmly rooted in academia, with aspirations of pursuing a PhD and ultimately becoming a researcher and lecturer…
