In this paper, we describe our method for ranking the skills required for a given job title. Our analysis shows that important/relevant skills appear more frequently in similar job titles. We train a Language-agnostic BERT Sentence Encoder (LaBSE) model to predict the importance of the skills using weak supervision. We show the model can learn the importance of skills and perform well in other languages. Furthermore, we show how the Inverse Document Frequency factor of skill boosts the specialised skills.

Throughout history, different eras have begotten different heroes of productivity in industry. In the 80s, the stock broker was the rock star of the business world. In the late 90s and 2000s, it was the computer programmer. For the last decade or so, it's been the data scientist. As the work of data scientists and engineers creates the Automation Age, the next industrial rock star will be the customer service specialist.

Artificial intelligence is rapidly evolving. Unprecedented advances in machine and deep learning have even called for some concern. Elon Musk, futurist billionaire and CEO of SpaceX and Tesla Motors, has dubbed it mankind's "greatest existential threat." Indeed, driverless cars, a technology Musk himself is developing, would displace up to 15 percent of the world's workers – a figure the Tesla CEO provided himself. The world of finance is by no means immune to the disruption AI will cause. In fact, artificial intelligence is already changing the way we invest.

A new report on the world's largest money manager, BlackRock, Inc., has revealed that it will be thinning the ranks of its human stock pickers, and transitioning toward algorithmic solutions. It's a stark example of algorithms directly taking people's jobs, and while the move is only tentative for now, it shows that soon even the world's most lucrative professions will be vulnerable to the oncoming wave of automation. The move comes in the wake of a troubling year for the conventional, so-called "actively managed" investment management business. In general, investors are starting to question whether having their money managed by a real human being is worth the vastly higher fees -- sometimes dozens of times higher than management through the application of simple rules, like following certain market indicators. Faith is waning in both the raw return on investment a human advisor can provide, and the value of being able to talk to a person who is specifically tasked with handling your financial future. Though there are no real details about the specifics of how these programs work (and, short of a leak, there won't be any coming), these new products have been available in some form for a while, previously locked away for large investors only.