Octopus Energy Data Scientist Interview Questions
The questions to prepare for a Octopus Energy Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Tests conflict resolution in an analytical setting, especially how you use data, communication, and consensus-building to resolve methodology disputes.
Calculate each customer's 7-day rolling average energy usage using daily aggregation and a PostgreSQL window frame.
Explain statistical significance, p-values, uncertainty, and practical importance to a non-technical audience.
Explain how to optimize near-term product outcomes without sacrificing long-term user trust, retention, and value.
Diagnose a sudden 20% KPI decline by validating measurement, decomposing drivers, and separating real behavior changes from data issues.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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Calculate rolling seven-day prescription averages by region from daily prescription totals.
HonorUUK Health Security AgencyCalculate daily conversions and a seven-day rolling average using PostgreSQL aggregation and window functions.
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