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- Tasks: Create bespoke algorithms and collaborate with clients in the Defence sector.
- Company: Join Faculty, a leader in human-centric AI with a diverse team.
- Benefits: Hybrid working model, access to powerful resources, and professional growth opportunities.
- Why this job: Work alongside brilliant minds and make a real impact in applied AI.
- Qualifications: Experience in data science, strong programming skills, and excellent communication.
- Other info: Dynamic environment with opportunities to teach and mentor.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Why Faculty?
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. You can read about our real‑world impact here.
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.
AI is an epoch‑defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.
About the team
Our Defence team is focused on building and embedding human‑centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting‑edge AI to high‑stakes situations and maintain the balance of global powers essential to our liberty.
Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work up to three days per week on‑site with these customers which may require travel to locations throughout the UK.
When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK.
About the role:
As a Data Scientist, you will work closely with clients and cross‑functional teams to define project scope, ensure technical feasibility, and drive delivery excellence.
You’ll design and deliver bespoke data science solutions, shaping the technical direction of high‑impact projects and solidifying our reputation as a leader in practical, measurable AI.
What you\’ll be doing:
- Mapping the end‑to‑end data science approach and designing the associated software architecture for projects
- Driving the technical scoping and feasibility assessment of new projects
- Building strong client relationships by acting as a technical advisor and shaping the direction of current and future engagements
- Delivering bespoke algorithms and scalable software solutions that adhere to best practices for high‑stakes decision‑making
- Setting the technical bar for the project team, ensuring the highest standards of code, rigour, and delivery quality (IC leadership)
- Contributing to Faculty\’s thought leadership and reputation through teaching, public speaking, or open‑source projects
Who we\’re looking for:
- You have proven experience in a professional data science or quantitative academic role, underpinned by high mathematical and statistical competence.
- You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep‑learning framework (TensorFlow/PyTorch).
- You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time‑series, NLP, model validation) and the ability to innovate new algorithms.
- You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework and measuring model impact upon deployment.
- You are an exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non‑technical audiences.
- You contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes.
Our Interview Process
- Talent Team Screen (30 minutes)
- Take Home Technical Test
- 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 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 (2 days in our Old Street office, London)
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat – talent@faculty.ai.
Please know we are open to conversations about part‑time roles or condensed hours.
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Data Scientist employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, conferences, or even online webinars. The more you engage with others, the better your chances of landing that Data Scientist role at Faculty.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data science projects, algorithms, or any cool stuff you've built. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for those interviews by brushing up on your technical skills and understanding Faculty's work. Be ready to discuss how you can contribute to their Defence business unit and show your passion for AI and data science.
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Faculty team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Faculty. Highlight your relevant experience, especially in data science and programming, and don’t forget to showcase any client-facing work you've done. We want to see how you can bring your unique skills to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at Faculty. Be sure to mention specific projects or experiences that demonstrate your expertise and enthusiasm for the role.
Showcase Your Technical Skills: Since we’re looking for strong programming skills, make sure to highlight your proficiency in Python and any other relevant languages. Mention the libraries and frameworks you’ve worked with, like NumPy or TensorFlow, to show us you’re ready to hit the ground running!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Faculty
✨Know Your Data Science Fundamentals
Brush up on your knowledge of data science techniques and libraries. Be ready to discuss your experience with tools like NumPy, Pandas, and Scikit-Learn, as well as any deep learning frameworks you've used. This will show that you have a solid grasp of the essentials and can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Highlight your ability to convert business challenges into mathematical frameworks and how you've developed innovative algorithms. This will demonstrate your resourcefulness and creativity, which are key for the role.
✨Communicate Effectively
Since you'll be client-facing, practice articulating your thoughts clearly and persuasively. Think about how you can explain technical concepts to non-technical stakeholders. Good communication skills can set you apart, especially when discussing project scopes or presenting findings.
✨Familiarise Yourself with Faculty's Work
Research Faculty's projects and their approach to AI in the Defence sector. Understanding their mission and values will help you align your answers with what they’re looking for. Plus, it shows genuine interest in the company and its impact on organisational performance.
