For most AI and tech roles, the first one or two interviews now happen over video. Technical assessments are also more common: CoderPad reports they are up 48% globally compared with mid-2023. And with two-thirds of graduate employers concerned about candidates misrepresenting themselves using AI, expect more live questions designed to see how you think.
Get your set-up right
- Test your camera, microphone and the interview platform the day before.
- Use a wired connection, or sit close to your router.
- Choose a quiet, well-lit spot with a plain background.
- Keep water, a notepad and a copy of your CV nearby.
Research the company
Know what they build, who uses it and any recent news. Have a clear view of how your skills fit what they need.
Prepare your examples
Pick three or four examples: a project you are proud of, a problem you solved and a time something went wrong. Practise telling each one in about two minutes, covering the situation, what you did and the result.
Practise technical questions without AI
Data and AI interviews still focus on fundamentals: SQL, statistics, Python and experiment design. Practise thinking out loud as you work. Interviewers care about your reasoning as much as your answer.
Be open about AI tools
If a take-home task allows AI tools, explain how you used them and how you checked the output. Being upfront about it counts in your favour.
On the day
- Join a few minutes early.
- Look at the camera, not the screen, when you speak.
- If your connection drops, rejoin calmly. It happens to everyone.
- Ask two or three thoughtful questions about the team and the work.
Afterwards
Send a short thank-you note the same day, and write down the questions you were asked so you are even better prepared next time.