Goldman Sachs · Data
Goldman Sachs Data Scientist Interview Questions & Preparation
Quick answer
A Goldman Sachs Data Scientist interview combines Goldman Sachs's 4-stage process — application & tests, hirevue video interview, superday, offer — with the technical and behavioural bar for a Data Scientist. Expect Goldman Sachs to assess excellence and client service, alongside core data scientist skills like statistics & probability and sql. Prepare data scientist answers framed around what Goldman Sachs specifically looks for.
How Goldman Sachs interviews Data Scientists
Goldman Sachs is a leading global investment bank, recruiting into divisions from investment banking and markets to engineering and asset management. Its process is demanding and division-specific, assessing technical strength, commercial awareness and cultural fit.
For a Data Scientist specifically, Goldman Sachs pairs its standard assessment with a technical bar focused on statistics & probability, sql, python. Data science interviews test whether you can turn ambiguous business problems into measurable analyses. Strong candidates pair technical depth (stats, ML, SQL) with clear communication and product judgement.
The Goldman Sachs interview process
| Stage | What to expect |
|---|---|
| Application & tests | CV screen plus online aptitude assessments. |
| HireVue video interview | Recorded behavioural and competency questions. |
| Superday | Multiple back-to-back interviews — technical, behavioural and commercial — with senior staff. |
| Offer | Decision and offer, often with a quick turnaround. |
What Goldman Sachs assesses
Data Scientist questions at Goldman Sachs
Expect a blend of Goldman Sachs's signature questions and core data scientist questions:
- 1Why Goldman Sachs, and why this division?
- 2Walk me through a DCF (for banking) / a coding problem (for engineering).
- 3Tell me about a recent market or deal story that interests you.
- 4Explain p-values to a non-technical stakeholder.
- 5Write a SQL query to find the second-highest salary per department.
- 6How would you design an A/B test for a new feature?
- 7When would you use precision vs recall?
- 8Tell me about a time your analysis changed a business decision.
- 9How do you handle missing data?
Example STAR answer
Example answer to: “Tell me about a time your analysis changed a business decision.”
Skills assessed
How to prepare for a Goldman Sachs Data Scientist interview
- Tailor technicals to the division (finance vs engineering).
- Have current commercial awareness ready.
- Define the metric and success criteria before reaching for a model.
- Practise SQL window functions and probability puzzles.
- Explain technical concepts in plain language — it's tested directly.
- Tie every analysis to a business decision.
Data Scientist salary
UK data scientists typically earn £45k–£85k, with senior and specialised roles exceeding £100k.
Frequently asked questions
What does the Goldman Sachs Data Scientist interview process involve?
Goldman Sachs's process runs through application & tests, hirevue video interview, superday, offer. For a Data Scientist, the technical rounds focus on statistics & probability, sql, python, and behavioural rounds assess excellence and client service.
What is a Goldman Sachs superday?
The final stage — multiple back-to-back interviews in one day, covering technical, behavioural and commercial questions with senior staff.
Is SQL tested in data science interviews?
Yes — SQL is almost always tested, including joins, aggregations and window functions.
How much machine learning do I need?
Enough to choose appropriate models, explain trade-offs and evaluate them properly. Depth scales with the role's seniority and specialism.
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