There was once a time, when data science was still in its infancy, when demonstrating any attempt to learn Python or machine learning was enough to secure a job interview. The demand for data scientists massively outweighed supply. Ten years later, however, the job market has dramatically shifted - and many data scientists who unexpectedly find themselves out of work face a truly overwhelming experience. In this episode, Sarah Burnett joins Dr. Genevieve Hayes to share how she transformed redundancy from a senior banking role into the launch of her own successful data consultancy, proving that unexpected job loss doesn't have to mean career disaster. In this episode, we explore: Why redundancy is a numbers game, not personal failure [03:54] The power of taking time to process after job loss, instead of rushing back [08:47] How to pivot when your first business idea doesn't work [16:58] Why building side projects and community involvement create career insurance [20:52] Guest Bio Sarah Burnett is the co-founder of Dub Dub Data, a consultancy that offers human-centric AI and Tableau solutions. She transitioned into independent consulting after navigating redundancy from a senior role at a major bank. She is also the co-host of the podcast unDubbed. Links Connect with Sarah on LinkedIn Dub Dub Data Website Connect with Genevieve on LinkedIn Be among the first to hear about the release of each new podcast episode by signing up HERE
