Candidatei-me online. O processo levou 3 semanas. Fui entrevistado pela Kubrick Group (Londres, Inglaterra) em set. de 2019
Entrevista
I submitted my resume and cover letter on their website. I was then told I had been selected for a video interview. It was the exact same style and set of questions as other people have previously mentioned.
I did not hear anything further from Kubrick, so I assume my application was unsuccessful. I wrote emails trying to obtain feedback, or at the very least find out for certain that I was unsuccessful, but I received no replies. This would seem to be a bit of a trend for Kubrick. At the beginning of my application process I was considering applying for their newly-created Data Transformation programme but they hadn't put very much information up about it (what technologies it would cover, a detailed description of the course etc). So I rang the company several times just to try and find out more information about it. Each time I was answered by someone who didn't know much about it who assured me that they would get somebody to phone me back- they never did.
All seemed pretty unprofessional and inconsiderate.
Fui entrevistado pela Kubrick Group em jan. de 2021
Entrevista
CV + Cover Letter. Emailed to arrange a call, skipping the initial 1-sided interview section. arranged a 20 minute phone call for the following week. no technical or logical questions.
Candidatei-me online. Fiz uma entrevista na empresa Kubrick Group.
Entrevista
Completed form online - quite easy.
No online assessments or tests.
Invited to do video interview - was able to complete from mobile device e.g. iPhone, iPad etc.
Format: given question, unlimited thinking time, 3 minute answer, 3 attempts.
Perguntas de entrevista [4]
Pergunta 1
At Kubrick we love meeting people with different background, personalities and interests. Could you tell us about yourself for 2-3 minutes?
The world of data technologies is one of the most exciting and fastest growing careers. What is it specifically that makes you want to pursue data as a career?
Data is everywhere and data science and analytics are making an impact across an ever increasing number and variety of industries. What commercial uses of data science or analytics have you seen or researched and why has the impact been so high?