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      McKinsey & Company

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      Senior Data Science Analyst Interview

      29 Apr 2026
      Anonymous interview candidate
      New York, NY

      Other Senior Data Science Analyst interview reviews for McKinsey & Company

      Senior Data Science Analyst Interview

      19 Apr 2026
      Anonymous interview candidate
      Dallas, TX
      No offer
      No offer
      Positive experience
      Average interview

      Application

      I interviewed at McKinsey & Company (New York, NY)

      Interview

      Applied online. Four rounds over several weeks: recruiter phone screen, PEI + TEI (behavioral and technical deep dive), a problem-solving case, and two final round PEI + PSS sessions with senior interviewers on consecutive days. Process was structured and professional. Heavy emphasis on structured communication and business framing over pure technical depth. No offer after finals.
      Neutral experience
      Average interview

      Application

      I applied online. I interviewed at McKinsey & Company (Dallas, TX) in Mar 2026

      Interview

      I first had an initial recruiter call where she explained that the overall process would take about two months and shared a HackerRank assessment as the next step. After passing the HackerRank, I had four interview rounds. The first two rounds were virtual. The first virtual round was with a Principal Data Scientist I who asked me relatively straightforward data science questions in a HackerRank environment and had me debug and fix code errors live. The second virtual round was with a Partner, who focused on a case study where I had to walk through my structured approach and solution strategy rather than just giving an answer. The third stage was an onsite round at the Dallas office; the company covered travel and accommodation, including flights, hotel, meals, and local transportation. This onsite interview was with a Principal Data Scientist II, who asked detailed questions from my resume and then gave me a manufacturing-focused case study involving building a time series forecasting solution for a production plant. Overall, the process was structured, case-heavy, and combined both technical and business-oriented evaluations.