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Hire your next Data Scientist with clearer evidence.

A ready-made selection of tests for Data Scientist candidates. See how they approach the skills that matter, then focus your interviews on the results.

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5 free candidate results · No credit card required · See a sample report

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AM
Alex Morgan

Data Scientist assessment

Completed

A CLEARER VIEW OF THEIR SKILLS

More than one score.

72%
Python82%
Data Analysis and Statistics74%
Numerical Reasoning (Advanced)68%
SQL64%

Compare strengths. Explore the detail. Ask better questions.

Illustrative results · Fictional candidate

WHAT THE ASSESSMENT EXPLORES

A clearer view of data and analytical skills.

The Data Scientist template combines Python, Data Analysis and Statistics, Numerical Reasoning (Advanced), SQL. Review the selection against the work your vacancy involves.

4tests50minutes68questions in total

01 · 18 QUESTIONS · 10 MINUTES

Python

Checks Python knowledge for building applications, scripts and data work.

  • Language fundamentals
  • Data structures
  • Functions & objects

02 · 15 QUESTIONS · 20 MINUTES

Data Analysis and Statistics

Checks whether candidates can summarise data, apply probability and testing, and draw sound conclusions.

  • Descriptive statistics
  • Probability
  • Inference and testing

03 · 15 QUESTIONS · 10 MINUTES

Numerical Reasoning (Advanced)

Shows how candidates read figures, tables and percentages, and what they conclude from them.

  • Tables & charts
  • Percentages & ratios
  • Interpreting figures

04 · 20 QUESTIONS · 10 MINUTES

SQL

Checks whether candidates can write the queries the job needs, not just read them.

  • Queries & filtering
  • Joins & relationships
  • Working with databases

A COMPLETE SKILLS PICTURE

One assessment. Different strengths.

Explore data accuracy, analysis and clear conclusions.

You receive a result for each included test: Python, Data Analysis and Statistics, Numerical Reasoning (Advanced), SQL. Compare the relevant areas separately and use a follow-up task based on checking a data extract before sharing an analysis.

Keep the recommended selection or adjust it before inviting candidates.

A MULTILINGUAL TEST SUITE

English, plus 13 languages.

Assess candidates in the language they work in.

  • English
  • Chinese (simplified)
  • Japanese
  • Korean
  • Thai
  • Vietnamese
  • Indonesian
  • French
  • German
  • Spanish
  • Portuguese
  • Italian
  • Dutch
  • Arabic

Languages across our wider suite. Availability varies by test and level; check each test when preparing your assessment.

TRY AN EXAMPLE QUESTION

Try an example question.

See how a Data Scientist candidate might approach checking a data extract before sharing an analysis. This Numerical Reasoning (Advanced) example gives you something concrete to discuss at interview.

Data Scientist: checking a data extract before sharing an analysisWorkplace example

The morning team handled 2 in every 5 data records. In total 150 data records came in.

ShareData records
2 in 5150
How many data records did the morning team handle?

An example of the question format, separate from a candidate assessment.

A PRACTICAL GUIDE

Using the Data Scientist assessment.

What does the full assessment tell you?

This template combines multiple-choice questions in Python, Data Analysis and Statistics, Numerical Reasoning (Advanced), SQL. It brings together evidence about data accuracy, analysis and clear conclusions, giving you areas to explore when checking a data extract before sharing an analysis.

How can you use the results?

Review each result against your vacancy’s responsibilities. Use a short task based on checking a data extract before sharing an analysis to explore practical application. Ask them to explain their checks, their method and what the figures do and do not establish.

Which results matter for your vacancy?

  • PythonExplore data structures and functions, then ask them to explain and test a short solution.
  • Data Analysis and StatisticsUse a short Data Analysis and Statistics work sample to explore how they apply descriptive statistics and probability.
  • Numerical Reasoning (Advanced)Ask them to interpret a table, calculate a rate and explain what the figures imply.
  • SQLAsk how they would filter records, join related tables and verify a query result.

SEE THE RESULTS FOR YOURSELF

See the person behind the score.

Explore a complete sample report, from test results and candidate comparisons to focused interview questions.

View sample report
Skills breakdownCandidate comparisonInterview prompts

BEFORE YOU START

Your questions, answered.

Can I tailor this assessment to my Data Scientist vacancy?

Yes. Start with Python, Data Analysis and Statistics, Numerical Reasoning (Advanced), SQL, then keep the tests that match your responsibilities. For example, use Python to explore language fundamentals. You can add or remove tests before inviting candidates.

Does this assess practical Data Scientist work?

Candidates answer multiple-choice questions in Python, Data Analysis and Statistics, Numerical Reasoning (Advanced), SQL online. They do not complete your day-to-day work inside your own systems. Add a short work sample based on checking a data extract before sharing an analysis to explore application alongside the test results.

Why is Python included?

Checks Python knowledge for building applications, scripts and data work. Explore data structures and functions, then ask them to explain and test a short solution. Review whether this area reflects the responsibilities of your vacancy before retaining it.

How long does this Data Scientist assessment take?

The recommended selection contains 4 tests and allows 50 minutes across its timed tests. Adding or removing tests, or adjusting time allowances, can change the total.

Will I see a separate result for each test?

Yes. Review Python, Data Analysis and Statistics, Numerical Reasoning (Advanced), SQL separately so a strength in one area does not hide a gap in another. Use the detail to focus interviews and relevant work samples. View the sample report.

Can I try this assessment with real candidates for free?

After signup, your Data Scientist selection is prepared for review. Adjust it, invite candidates and see your first 5 candidate results free. No credit card is required. See pricing for further results.

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