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.\n\nMy 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.\n\nIn the interview, we discuss:\n\nThe growing demand for data science professionals\n\nThe specific data skills that employers currently need\n\nIs there any consistency in data science job titles?\n\nWhat would motivate a data science professional to move jobs?\n\nHow should recruiters source and engage in this talent market\n\nWhat type of hiring process will drive the most successful outcomes?\n\nGig working and fractional working\n\nCreating business value from AI\n\nWhat skills will be needed in the future as the development and adoption of AI ramps up?\n\nFollow this podcast on Apple Podcasts.