In addition to our podcast series AI Mentors, we want to give you access to our vast recruitment experience by offering you advice on your AI and Data Science career journey. Whether you're a rookie looking for your first job, a novice on the hunt for the next one or just seeking some guidance around your own personal development in this ever-changing industry, Alldus is here to help.
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The job application process can be extremely stressful and lengthy. You’ve tailored your resume, gone through several rounds of interview and waited what seems like an eternity for feedback. Despite intense competition the job is yours! The hard work is over…Well not exactly.
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In light of the recent coronavirus (COVID-19) outbreak many organisations are already following the advice of health organisations by implementing a work from home policy in order to curb the spread of the of the infectious disease and keep their employees safe.
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Interview rejection can be hard to take, especially when you felt like everything was 100% going your way and suddenly it's all over. We understand that this can be tough, so here are some things to keep in mind when dealing with rejection after an interview.
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With more and more interest in Data Science as a career choice, the competitiveness in the market is only set to increase, to stay ahead of the competition, it is vital to prioritise your professional development or risk being surpassed by a workforce with a more diverse skillset.
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How can developers leverage their Java skills to get into machine learning? We suggest the following steps such as understanding the fundamentals, practice implementing machine learning models with Java workbenches, working with different Java machine learning libraries, and more.
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It will come as no big shock to anyone that technology has made the world a whole lot smaller. Technology has allowed people to communicate face to face from anywhere in the world, all they have to do is pick up their phone or laptop. Faster and higher quality video has been a huge contributor to…
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Tip number 5. Negotiate and be transparent about what offers you have on the table and when exactly the deadlines are. I promise your prospective employers will not look on this in a negative light. It's simply reflective of the competitive labour landscape in which firms must fight for top talent.
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There are hundreds of programming languages, each one with their own set of features and uses., but for a data professional to be a success they will probably need to become familiar with more than one of these languages. Is it better to be a jack of all trades or master of one?
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It’s possible that when you accept a new job offer and hand in your notice that your current employer will make a counter offer in order to incentivize you to stay. This typically comes in the form of an increased salary and benefits package. So you might be wondering how should I handle this?
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How do you best approach the hiring process? In this article, I offer my advice to anyone on how best to approach the application, phone, and on-site interview stage for a career as a data scientist.
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Data Scientists are currently one of the most competitive markets for large corporations in terms of recruitment. Why? There is an enormous skills gap meaning that there is a lack of talented and educated professionals out there who are able to fill these roles.
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