Latest Career Resources

“Data scientist” sounds technical and intimidating, but at its core, it’s a job about making better decisions using evidence, not guesswork. A data scientist sits where business, analytics and technology meet, turning messy information into clear stories leaders can act on.

The Gap Between Talk and Action Every CEO wants to be "AI-first." Every LinkedIn post promises transformation. But here's the reality: most companies are still figuring out what actual AI implementation looks like.

If you’ve spent any time on LinkedIn lately, you’d think AI is either here to replace us all… or it’s just a fancy autocomplete in a sparkly UI. The truth, as usual, sits somewhere in the messy middle – and that’s exactly where the most interesting talent trends are showing up.​

The title might be new, but the questions behind the Chief AI Officer role are very old: who owns transformation, who is accountable for outcomes, and how do you separate hype from value.

The data scientist role has always attracted curiosity—and, lately, a lot of anxiety about what AI really means for the future. But SEEK and LinkedIn’s newest salary insights point towards growth, not obsolescence, for professionals who stay curious and keep upskilling.

For anyone navigating today’s job market, there’s a new kind of question surfacing: “Is using AI fair game?” Truth is, the best candidates aren’t asking if they should use AI, they’re busy figuring out how to get the most out of it, and it’s changing the game for good.