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- Tasks: Design and deliver bespoke data science solutions for high-impact projects.
- Company: Join Faculty, a leader in responsible AI with a focus on human-centric solutions.
- Benefits: Enjoy unlimited annual leave, private healthcare, and flexible working options.
- Why this job: Make a real impact in the defence sector using cutting-edge AI technology.
- Qualifications: Proven experience in data science, strong Python skills, and excellent communication.
- Other info: Diverse and inclusive team culture with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 ÂŁ 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 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.
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.
Data Scientist employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Faculty employees on LinkedIn. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects. Show how your experience aligns with Faculty's mission of responsible AI and how you can contribute to their Defence team.
✨Tip Number 3
Don’t just apply – engage! When you submit your application through our website, follow up with a friendly email expressing your enthusiasm for the role. It shows initiative and keeps you on the radar.
✨Tip Number 4
Showcase your passion for AI! Whether it’s through personal projects, contributions to open-source, or speaking at events, let us see your commitment to the field. This can really set you apart from other candidates.
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. Highlight your experience with Python, data science techniques, and any relevant projects that showcase your skills. We want to see how you can bring your unique expertise 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. We love seeing candidates who share our intellectual curiosity and desire to make a positive impact.
Showcase Your Projects: If you've worked on any interesting data science projects, don’t hold back! Include links to your GitHub or any publications. We’re keen to see how you’ve applied your skills in real-world scenarios and what innovative solutions you've developed.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Faculty!
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your Data Science Fundamentals
Brush up on your core data science techniques, especially supervised and unsupervised learning, time-series analysis, and NLP. Be ready to discuss how you've applied these methods in real-world scenarios, as this will show your practical understanding and ability to innovate.
✨Showcase Your Technical Skills
Make sure you’re comfortable with Python and its essential libraries like NumPy and Pandas. Prepare to demonstrate your coding skills during the technical interview, perhaps by solving a problem or discussing a project where you used TensorFlow or PyTorch.
✨Communicate Clearly and Effectively
Practice explaining complex technical concepts in simple terms. You’ll need to convey your ideas to both technical and non-technical audiences, so think of examples where you’ve successfully done this in the past.
✨Understand the Company’s Mission
Familiarise yourself with Faculty's focus on human-centric AI and their work in the defence sector. Be prepared to discuss how your values align with theirs and how you can contribute to their mission of building responsible AI solutions.