At a Glance
- Tasks: Manage AI projects and collaborate with financial services to deliver impactful solutions.
- Company: Join Faculty, a leader in human-centric AI innovation since 2014.
- Benefits: Enjoy unlimited leave, private healthcare, and flexible working options.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
- Why this job: Be part of a team transforming financial services with cutting-edge AI technology.
- Qualifications: Experience in AI projects, strong analytical skills, and client-facing expertise.
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. 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.
In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help financial institutions become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment.
This is an exciting, new role for an individual motivated to build on their knowledge of AI transformation in Financial Services. As an Associate, you’ll be part of a close-knit team - scoping, building and delivering impactful AI projects for some of the most influential financial firms in the UK. We’ll look to you to build trusted client relationships, analyse requirements and feedback, lead workflows and help to ensure our bespoke AI tools are built and optimised for real-world operations.
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 financial services 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 have prior experience working on AI/data intensive projects in the finance sector.
- You demonstrate analytical thinking, can clearly communicate ideas, and synthesise complex information.
- 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 to build solutions or features.
- You understand Agile and related methodologies and the basis of iterative development and continuous delivery.
- You are thoughtful and proactive in ambiguous situations, keen to take initiative and own finding solutions to challenges.
- You’re excited and energised by the possibilities for innovation in financial services!
Our interview process:
- Talent Team Screen (40 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. 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
Associate employer: Faculty AI
At Faculty, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of AI. Our commitment to employee growth is evident through our unlimited annual leave policy, private healthcare, and family-friendly flexibility, ensuring that our team members can thrive both personally and professionally. Join us in London, where you'll have the opportunity to work alongside industry leaders, contribute to impactful projects, and be part of a diverse team dedicated to making a positive legacy through technology.
StudySmarter Expert Advice🤫
We think this is how you could land Associate
✨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 AI!
✨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 at Faculty AI.
✨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 AI.
✨Apply Directly through Our Website
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We think you need these skills to ace Associate
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 AI, 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 AI. 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 AI
✨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 AI!
✨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.
