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Why work in IT? Discover the top tech jobs for 2023

Looking for a high-paid job in tech this year? Whether you’re gearing up for a major career change or looking for new openings within your niche, there’s certainly no shortage of opportunities. Along with the possibility of joining a large agency and teaming up with industry leaders, working on a self-employed basis could also be lucrative.

While we might be approaching the end of ‘the Great Resignation’, one survey suggests that at least 80% of those who quit their job during the pandemic now regret their decision. Staying within your area of expertise is now tipped to be the most beneficial – for both your pay packet and your career. If you work in IT, here are just a few avenues that you could follow.

 

Three of the best opportunities in technology

  1. Software engineer

Demand for workers trained in the engineering and modification of software is at an all-time high. Also known as software developers, these highly skilled individuals are responsible for building applications, programs, networks and operating systems using software.

Even though their duties will largely involve building and designing new programs through code, software developers are typically also required in planning technical features, analysing user experience and test pre-existing programs. While some engineers focus on applications with which users interact– also known as front-end applications – others only focus on the opposite.

To become a software engineer, you’ll need to be fluent in multiple programming languages. These might include – but needn’t be limited to – the likes of JavaScript, C++, Python, Java, HTML and Ruby. You should also be an independent, critical thinker with an excellent knowledge of computer and development concepts. Especially if you plan to go solo, it’s also worth considering if you may benefit from IT contractors’ insurance.

 

  1. AI engineer

With the rise of ChatGPT, an AI model launched by OpenAI in November 2022, we’re only just starting to realise the power of artificial intelligence. Also known as machine-learning engineers, these professionals develop AI technologies to simulate the human thinking process. They can take the form of applications, websites or programs.

These specialist positions are highly competitive and almost always demand expertise in multiple areas of application. This might include prior experience working with AI and machine learning.

Additionally, anyone seeking a role as an AI engineer should be able to demonstrate solid experience in programming and automated technology. You’ll need experience writing and understanding code, alongside working with algorithms and functional design principles.

 

  1. Data scientist

Data scientists are responsible for collecting, interpreting and analysing different types of data. To achieve this, they might rely on advanced analytics programs and technologies, including AI and machine learning.

Using their critical thinking, strong technical knowledge and mathematical ability, data scientists can assist companies with identifying and understanding customer behaviours, overall market trends, and tactics used by competitors.

Necessary skills and areas of expertise include coding, statistics, linear algebra, data visualisation, communication and more. Most data scientist vacancies require at least an undergraduate degree from prospective candidates.

 

Conclusion

Once you’ve gained a basic understanding of the core principles behind automated technologies and programming, you’ll be able to access an incredible range of opportunities. As long as you have the skills and experience, working within the technology sector doesn’t need to mean keeping the same position.