Episode 88: Building a Data Science Career After Unexpected Job Loss

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:

1. Why redundancy is a numbers game, not personal failure [03:54]
2. The power of taking time to process after job loss, instead of rushing back [08:47]
3. How to pivot when your first business idea doesn't work [16:58]
4. 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
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