At a Glance
- Tasks: Lead high-impact AI safety projects and shape evaluation standards.
- Company: Join Faculty, a leader in responsible AI innovation since 2014.
- Benefits: Enjoy unlimited leave, private healthcare, and flexible working options.
- Other info: Diverse team culture that values intellectual curiosity and positive impact.
- Why this job: Make a real impact on AI safety for national security and global stability.
- Qualifications: Senior experience in data science with strong programming skills in Python.
The predicted salary is between 63000 - 77000 £ per year.
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions. We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all. Because of the nature of the work we do with our Government clients, you may need to be eligible for Security Clearance (SC) and willing to work on site with our clients from time to time.
As a Senior Data Scientist at Faculty, you will lead high-impact AI safety projects and shape the technical direction of upstream evaluation standards. This role requires hands-on scientific thinking and technical excellence combined with strong project leadership. You will invent novel evaluation frameworks, design robust software architectures, mentor technical team members, and ensure delivery rigour across engagements—all while partnering with Frontier Labs to solidify our reputation as a leader in practical, high-stakes AI safety.
What you'll be doing:
- Leading project teams that deliver upstream AI safety solutions and evaluation standards to Frontier Labs.
- Conceiving core scientific experiment designs and building the associated software architecture for new engagements.
- Mentoring technical team members on projects and supporting their professional growth through scientific guidance.
- Partnering with commercial teams to shape project scope, assess technical feasibility, and translate complex problems into rigorous frameworks.
- Contributing to Faculty’s thought leadership by advancing the science of AI evaluations, public speaking, or publishing open-source research.
- Ensuring rigorous scientific methodology and technical best practices are followed across the project lifecycle.
Who we're looking for:
- You possess senior experience in a professional data science role, upstream safety research, or a quantitative academic field with strong experiment design methodology.
- You demonstrate strong programming skills in Python using core scientific libraries (NumPy, Pandas) and, ideally, evaluation frameworks and tooling (e.g. Inspect AI) and agentic harnesses.
- You bring deep curiosity and expertise across the data science toolkit, with a drive to develop novel evaluation standards for specialized domains.
- You exhibit high technical rigor and a collaborative mindset focused on nurturing team capabilities and sharing technical knowledge.
- You demonstrate commercial awareness, with the ability to bridge complex scientific work with client requirements in Frontier Labs.
- You excel at scientific problem-solving, scoping technical work, and guiding project execution to meet high standards on structured timelines.
Our Interview Process:
- Talent Team Screen (30 minutes)
- Take Home Technical Assessment
- Technical Interview (90 minutes)
- Commercial Interview (60 minutes)
Our Recruitment Ethos:
We aim to grow the best team - not the most similar one. We know that diversity of individuals foster diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Senior Data Scientist (Safety) employer: AI Chopping Block
Cohere is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for those passionate about AI and technology. With generous benefits such as a weekly lunch stipend, comprehensive health coverage, and six weeks of paid vacation, employees are supported both personally and professionally. The remote-friendly work environment, combined with opportunities for growth and development, ensures that every team member can thrive while contributing to groundbreaking advancements in AI.
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We think this is how you could land Senior Data Scientist (Safety)
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We think you need these skills to ace Senior Data Scientist (Safety)
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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!
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✨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!
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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
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✨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.
