Career Advice

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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Skills Needed For A Career In Computer Vision

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You are ready to delve into the world of automation and have chosen the path of a Computer Vision Engineer. This exciting role consists of learning highly advanced technologies, something today's employers are looking for. Here are the top skills you need to start your career in Computer Vision.

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4 reasons to choose a career in recruitment as a graduate

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After years of studying and long nights completing assignments you are about to or have just recently graduated. You start to wonder 'What's next?'. Maybe Recruitment is the next step for you with the market expected to be worth upwards of $300BN by 2025, a 50% increase from the 2020's valuation.

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Our top tips for being productive while working from home

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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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Our tips for settling into a new role

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While the majority of the burden falls on management to have developed a suitable onboarding process to ensure employee effectiveness and morale, the employee has a responsibility to themselves also for settling into their new surroundings. Here are our tips to do just that.

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Data Scientist: Tips for building your personal brand

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Every industry has its own celebrities. Many of these have built up their reputation over decades and were maybe the first in their field to do so. However, it's a lot more competitive these days as countless people hustle to become THE Data Scientist.

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Making the move from Analyst to Data Scientist

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From a career standpoint, the roles of analyst and data scientist are more complementary instead of one position being at a higher level than the other. However, if you want to become a data scientist, and that is a personal goal for you, then you’ve come to the right place.

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Data Science: Dealing with rejection after an interview

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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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3 Data Science Skills To Hone In 2020

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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 to turn your Java skills into a career in Machine Learning

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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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Our top 5 video interview tips

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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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How to navigate conflict resolution questions

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While you may love your job, work with great people and generally speaking experience a positive work atmosphere. Inevitably, you will encounter conflict with a colleague. By learning from these experiences you will become better equipped to handle conflicts in the future and being able to showcase…

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Top tips for your data science CV

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In order to get your resume to stand out amongst the stack, there are a lot of things to consider. Even simple choices like what font to use, should you use bold and italics to set off your subheads, job titles, and other features?

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