Live Jupyter-style notebooks, real datasets, and end-to-end ML pipeline challenges — revealing true data science capability at every seniority level.
The data science talent gap is acute. Our live-environment assessments test Python, R, SQL, ML pipelines, and statistical reasoning in real Jupyter-style notebooks — not multiple choice.
Three self-guided tours that show you exactly how Prelim solves your specific challenge — no sales pitch required.
Data scientists are defined by their statistical thinking, data wrangling ability, and capacity to derive insight from messy, real-world datasets — not by which libraries they've memorised. Prelim's data science assessments test what actually matters.
From SQL queries to model evaluation tasks and statistical reasoning questions, our challenges are built and reviewed by practising data scientists to ensure every item reflects genuine on-the-job demands.
From data wrangling to model deployment — test the skills your team actually needs.
Real datasets, messy and ambiguous — candidates clean, explore, and derive insights just as they would in their first sprint.
Build, tune, and evaluate models in a live notebook environment. Scored on methodology, not just accuracy.
Adaptive MCQ and calculation tasks covering hypothesis testing, Bayesian reasoning, and experimental design.
From EDA to model deployment — every challenge is grounded in practice.
Move beyond CV screening to evidence-based data science evaluation.