During your interview
In regards to attitude, you should to be positive and honest — make sure your answers are clear, to the point and be completely honest. If you don’t know something — say so and show you have a willingness to learn.
The hiring organisation is also going to want to know that you have the ability to convey technical information to a non-technical audience. If asked to give an example of this — tread carefully. If your degree was in Maths, don’t try and dumb down Chaos Theory — this won’t work! Maybe describe Regression in layman’s terms or something a little easier to provide a more audible example.
Make sure you get the message across that you’re a hard worker. Most Data Scientists spend their formative months cleansing data, merging data sets and doing quality assurance. It’s wise to communicate that you’re happy doing work that some would find mundane.
“When interviewing, I’m looking for evidence that you can directly contribute to domain specific problems. In our case, we need to see that students can take the Natural Language Processing, Machine Learning and data analysis techniques they have learned, then apply them to solve projects in the legal sector without hesitation. So ensuring you are confident in the techniques and why they work is important”.
Peter Lee, Director at Wavelength. law
Ending your Interview
Thanking people for their time and asking questions as aforementioned is usually what happens at the end of Interviews. Go a step further — ask someone about their journey through the business, about why they work at this company. Turn the interview on it’s head and ask people to talk about themselves. People LOVE talking about themselves and this will make them remember you. If you create a positive environment, you’ve more chance of creating a positive experience.
Good Luck!