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# Data Scientist, Safety

- **Company:** OpenAI
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Monitoring of Systems, Python (Programming Language), Standard Sql, SQL Databases
- **Published:** May 17, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=b60ab3bcbb63a913

## About the Role

Do you have experience in SQL?, We're looking for strong Data Scientists who thrive in ambiguous, high-leverage environments.

You may be a fit if you have:
Strong statistical reasoning and analytical judgment

Experience with experimentation, causal inference, or observational analysis

Strong SQL and Python skills

Experience working with messy, incomplete, or noisy datasets

Ability to structure open-ended business or risk problems

Excellent communication with technical and non-technical stakeholders

High ownership and comfort operating independently

## Description

OpenAI's Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company's most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users.

We are hiring Data Scientists to help build the analytical foundations that allow OpenAI to deploy increasingly capable AI responsibly.

This is a high-impact role operating at the intersection of product, safety, policy, and research.

About the Role

As a Data Scientist, Safety, you will help solve complex and ambiguous problems where rigorous analysis directly informs critical decisions.

Depending on your background and team alignment, you may work on areas such as:

Measure harmful or abusive behavior across OpenAI's products

Detect fraud, manipulation, coordinated misuse

Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows

Design experiments and causal analyses to understand product, policy, and mitigation impacts

Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks

Diagnose gaps in safety and integrity systems using behavioral and product data, and help quantify and navigate false positive / false negative tradeoffs

Translate ambiguous safety risks into measurable problems and evidence-based recommendations

Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes


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