Funding Circle Data Scientist Interview Questions
The questions to prepare for a Funding Circle Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Assesses problem framing, data needs, and estimation strategies for a consumer/retail scenario.
Evaluates practical programming and data tooling proficiency for data science work at Funding Circle.
Assesses modelling approach, feature engineering, and evaluation for credit risk in a lending marketplace context.
Tests ability to apply data science to a real-world business optimization problem with a clear stakeholder context.
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