With the development and adoption of AI accelerating at an unprecedented pace, the demand for data scientists and data skills in general is snowballing. To recruit successfully in this competitive talent market, TA teams must understand the specific data skills their organisation needs and the intrinsic career motivations of the data professionals they seek to engage with.
My guest this week is Akshay Swaminathan, Head of Data Science at Cerebral and co-author of a new book called "Winning With Data Science". In our conversation, Akshay offers an insider view on the data science talent market, what motivates data scientists to move companies and the most effective recruiting process for people with this skillset. Essential listening for anyone recruiting data science professionals or working in talent markets with similar skills shortages.
In the interview, we discuss:
- The growing demand for data science professionals
- The specific data skills that employers currently need
- Is there any consistency in data science job titles?
- What would motivate a data science professional to move jobs?
- How should recruiters source and engage in this talent market
- What type of hiring process will drive the most successful outcomes?
- Gig working and fractional working
- Creating business value from AI
- What skills will be needed in the future as the development and adoption of AI ramps up?
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