At a Glance
- Tasks: Manage AI projects, build client relationships, and support innovative AI solutions.
- Company: Join Faculty, a leader in responsible AI for national security and global stability.
- Benefits: Enjoy unlimited leave, private healthcare, flexible working, and coaching support.
- Other info: Diverse and inclusive culture that values intellectual curiosity and positive impact.
- Why this job: Be part of a team shaping the future of AI safety and innovation.
- Qualifications: Analytical thinker with a passion for AI safety and client-facing experience.
The predicted salary is between 54000 - 66000 £ 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.
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. We work at the frontier of high-stakes, high-impact missions.
As an Associate within our AI Safety team, you’ll be part of a close-knit team - scoping, building and delivering impactful AI projects for our clients in the industry with a focus on frontier model evaluations and crucial crossover work with our customers in the Government & Public Services space.
What you'll be doing:
- Managing individual work streams to support the successful delivery and implementation of bespoke AI solutions
- Working side-by-side with key stakeholders to understand critical mission challenges and user needs
- Conducting open-source analysis to support the development of cutting-edge AI tools
- Translating complex operational requirements into clear user stories for delivery and engineering teams
- Designing and testing workflows that support user-centric decision-making in high-stakes environments
- Collaborating closely with technical teams to ensure projects run smoothly and solutions meet customer needs
- Contributing to internal thought leadership, strategy, and capability development across the team
Who we’re looking for:
- You demonstrate analytical thinking, can clearly communicate ideas, and synthesise complex information
- You bring a passion for Applied AI safety, possibly from your experience within labs, academia, or evaluation/red teaming roles
- You have external client-facing experience and have built trusted relationships which have contributed to the overall success of projects/products
- You’ve worked with technical teams
- You understand Agile and related methodologies and the basis of iterative development and continuous delivery
- You are thoughtful and proactive in ambiguous situations, with examples of when you’ve taken initiative and owned finding solutions to challenges
- You’re excited and knowledgeable about the possibilities for innovation in AI Safety technology
Our interview process:
- Talent Team Screen (30 mins)
- Introduction Interview (60 mins)
- Case Study Interview (60 mins)
- Interview with Business Unit Director (30 mins)
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
Associate (Safety) employer: Faculty Science Limited
At Faculty Science Limited, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our team enjoys a range of benefits including professional development opportunities, flexible working arrangements, and the chance to work on impactful projects in a vibrant location. Join us to advance your career in machine learning while contributing to meaningful solutions that make a difference.
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We think this is how you could land Associate (Safety)
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We think you need these skills to ace Associate (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 Faculty Science Limited, 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 Faculty Science Limited. 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 Faculty Science Limited
✨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 Faculty Science Limited!
✨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.
