At a Glance
- Tasks: Manage AI projects in education and public services, ensuring impactful delivery.
- Company: Join Faculty, a leader in responsible AI innovation since 2014.
- Benefits: Flexible working hours, diverse team culture, and opportunities for personal growth.
- Other info: Diverse and inclusive workplace with a commitment to positive impact.
- Why this job: Be at the forefront of AI technology, making a real difference in society.
- Qualifications: Experience in data or AI projects, strong analytical skills, and client-facing abilities.
The predicted salary is between 60750 - 74250 £ 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 innovate, build and deploy responsible AI which moves the needle. 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 Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions to optimising our NHS, we know that AI offers opportunities to drive improvements at every level of Government.
As an Associate at Faculty, you will join a collaborative team scoping, building, and delivering impactful AI projects across education and public services. You will support work streams alongside assessment bodies, educational platforms, and government partners to ensure bespoke AI solutions are safe, evidence-backed, and practical.
What you'll be doing:
- Managing individual work streams to support the smooth delivery and deployment of bespoke AI tools across education and public service organisations.
- Working side-by-side with education leaders, publishers, and assessment partners to understand user needs and core learning challenges.
- Translating operational requirements and pedagogical goals into clear, actionable user stories for data science and engineering squads.
- Partnering with AI safety and evaluation specialists to test workflows and ensure solutions uphold rigorous standards of fairness, validity, and evidence.
- Collaborating closely with multidisciplinary project teams to keep delivery on track and maintain exceptional delivery quality.
- Contributing to problem-led proposals, client workshops, and internal thought leadership on the positive impact of technology in learning.
Who we're looking for:
- You bring strong analytical thinking and curiosity, with a talent for synthesising complex information and communicating ideas with clarity.
- You have foundational experience working on data, software, or AI-oriented projects, ideally with exposure to public services or educational platforms.
- You demonstrate client-facing experience and take pride in building empathetic, collaborative partnerships that help projects succeed.
- You understand Agile ways of working and appreciate how iterative delivery helps multidisciplinary squads achieve meaningful results.
- You show a thoughtful awareness of why validity, fairness, and safety are critical when applying AI to education and public services.
- You thrive in entrepreneurial settings, bringing initiative, adaptability, and enthusiasm for finding creative solutions in fast-moving environments.
Our interview process:
- Talent Team Screen (30 mins)
- Introduction Interview (60 mins)
- Case Study Interview (60 mins)
- Interview with Business Unit Director (30 mins)
Our Recruitment Ethos: We aim to grow the best team- not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. 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.
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. 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, and every application is reviewed by a human, never decided by AI.
Associate (Education) in Vauxhall employer: Faculty
At Faculty, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As the Head of Banking AI Transformation, you will have the opportunity to lead transformative projects in a rapidly evolving sector while benefiting from our commitment to employee growth through continuous learning and development. Located in a vibrant area, our team enjoys a supportive environment that values diversity and encourages meaningful contributions to the financial services landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Associate (Education) in Vauxhall
✨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 Faculty!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Associate (Education) at Faculty.
✨Leverage Professional Networks
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 Faculty.
✨Apply Directly through Our Website
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We think you need these skills to ace Associate (Education) in Vauxhall
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, 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. 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
✨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!
✨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.
