Hamlyn Williams Insights by Market

Imagine a world where software developers, data analysts, and cybersecurity experts no longer work nine-to-five jobs but instead, choose their projects, set their own hours, and work from anywhere in the world. This is not a futuristic scenario, but a current growing reality shaped by the rise of the gig economy.

We live in a world where we are constantly connected to the internet. Every device we own is connected, from your phone to your fridge, and even your car – and each one is a potential target for cyberattacks.

Artificial intelligence (AI) has become a powerful force driving innovation across numerous fields.

In recent years, the business landscape has witnessed a huge shift towards sustainable and socially responsible practices.

In 2023, crypto and fintech companies worldwide incurred a staggering $5.8 billion in regulatory fines.

In the wake of a challenging year marked by downturns in manufacturing output, new orders, and employment levels throughout much of 2023, the manufacturing industry stands now ready for renewed transformation.

It’s estimated that 15 to 20 percent of the world’s population is neurodivergent. So, while a fifth of the world have unique neurological profiles that differ from the so-called 'neurotypical' norm, it’s no surprise that neurodivergence is a hot topic in conjunction with diversity and inclusion.

Within the financial services industry, adherence to regulatory standards is an absolute necessity and hiring practices come under intense scrutiny.

Just a month after coronavirus had been announced as a pandemic, in April 2020, 46.6% of employees in the UK were working remotely for at least some of their work.

The cybersecurity talent shortage is fast becoming a formidable challenge for organisations worldwide as the digital landscape continues to evolve at an unprecedented pace. 

Staff retention is crucial for businesses as it directly impacts organisational stability, productivity, and overall success. High employee turnover can lead to increased recruitment costs, loss of institutional knowledge, and disruptions in workflow.

In the life sciences industry, which has been marked by a traditionally slower pace in digital adoption, a notable shift is underway. The digitalisation of the industry, though gradual, has gained momentum. A key player in this transformative journey is the data scientist, a role that is a relatively new addition to the research and development landscape within life sciences.