At a Glance
- Tasks: Analyse data to enhance safety and integrity across OpenAI’s products.
- Company: Join OpenAI, a leader in AI safety and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for impactful work.
- Other info: Collaborative environment with significant career growth potential.
- Why this job: Tackle real-world challenges and shape the future of AI safety.
- Qualifications: Strong analytical skills, experience with SQL and Python, and a passion for safety.
The predicted salary is between 60000 - 80000 £ per year.
About the Team
OpenAI’s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle challenges across preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users.
We are hiring Data Scientists across several safety teams: Safety Systems, Integrity, Product Policy.
About the Role
As a Data Scientist, Safety, you will solve complex and ambiguous problems where rigorous analysis directly informs critical decisions.
Key Responsibilities
- Measure harmful or abusive behavior across OpenAI’s products.
- Detect fraud, manipulation, and coordinated misuse.
- Evaluate and improve safety classifiers, rule 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 trade‑offs.
- Translate ambiguous safety risks into measurable problems and evidence‑based recommendations.
- Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes.
- Build zero‑to‑one analytical systems in rapidly evolving domains.
Ideal Candidate
We’re looking for strong Data Scientists who thrive in ambiguous, high‑leverage environments. The following experience and skills are desirable:
- 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.
Helpful backgrounds include Trust & Safety / Integrity, Fraud & Abuse, Security analytics, AI/ML model measurement and evaluation, Alignment and AI safety research, Biosecurity, synthetic biology, infectious diseases, or computational biology.
Why This Role
Work on mission‑critical problems with world‑level impact, shape how frontier AI systems are deployed safely, operate with unusual ownership and visibility, solve novel problems with no existing playbooks, and join highly collaborative teams across OpenAI.
Data Scientist, Safety employer: The Consulting Solutions
OpenAI is an exceptional employer for Data Scientists, particularly in the Safety teams, where you will engage in meaningful work that directly impacts the safety and integrity of frontier AI systems. With a strong emphasis on collaboration, employee growth, and innovative problem-solving, OpenAI fosters a dynamic work culture that encourages ownership and creativity. Located in a vibrant tech hub, employees benefit from a supportive environment that prioritises professional development and offers unique opportunities to tackle complex challenges in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Safety
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The Consulting Solutions!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The Consulting Solutions.
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We think you need these skills to ace Data Scientist, Safety
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at The Consulting Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The Consulting Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at The Consulting Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The Consulting Solutions!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
