Future Secure AI interview questions

I was interviewed by a PHD person for a Staff Data Scientist position. Unfortunately, this was one of the most disappointing interview experiences I have had in recent years. From the outset, the conversation felt less like an interview for a senior industry role and more like an academic examination. Rather than spending time discussing the role, team, business challenges, or expectations, a considerable portion of the introduction focused on the interviewer's PhD and research background. The interview style was extremely academic and rigid. Despite bringing significant industry experience and a proven track record of delivering data science solutions, there appeared to be little interest in understanding my professional achievements, leadership experience, business impact, or practical problem-solving capabilities. Instead, the discussion revolved around a checklist of theoretical and highly academic questions. Many of the questions seemed designed to test memorisation of machine learning theory rather than a candidate's ability to solve real-world business problems. The expectation appeared to be that candidates should recall textbook-level details and mathematical theory from memory, as though sitting a university examination rather than being assessed for a senior industry role. What was particularly disappointing was the lack of emphasis on practical data science, stakeholder management, product thinking, experimentation, AI implementation, or delivering measurable business outcomes. These are arguably the areas that distinguish a Staff Data Scientist from a graduate student. The overall experience felt more like a PhD viva than an interview for a modern data science leadership position. In today's AI landscape, where practical application and business impact matter as much as technical depth, the interview process felt surprisingly disconnected from industry realities. Candidates from strong industry backgrounds should be aware that the assessment appears heavily weighted toward academic theory and theoretical recall rather than practical experience and demonstrated impact.

Very odd process initially described as SRE or potentially Solution Architect. Turns out all they were interviewing for was extra hands to install their bespoke solution in customer environments according to a rigid playbook. No explanation of how that's even remotely related to SRE, and after (very politely) removing myself from consideration the recruiter BLOCKED ME on LinkedIn.