At a Glance
- Tasks: Lead innovative AI projects and mentor a talented team in a dynamic environment.
- Company: Join Faculty, a leader in responsible AI with a focus on real-world impact.
- Benefits: Enjoy unlimited annual leave, private healthcare, and family-friendly flexibility.
- Other info: Work remotely or from our London office, with opportunities for travel.
- Why this job: Shape the future of AI while making a positive impact in defence and beyond.
- Qualifications: Expertise in machine learning and strong leadership skills required.
The predicted salary is between 80000 - 100000 £ 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. 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 between 2 to 4 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 Lead Data Scientist, you'll take on a pivotal, entrepreneurial role, functioning as the technical expert who thrives on complexity and commercial impact. You will be responsible for setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects. This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring cross-functional teams, and actively shaping both our technical standards and long-term customer relationships.
What you'll be doing:
- Setting the technical direction for complex, business-critical projects and expertly balancing trade-offs between speed, innovation, and reliability.
- Designing and implementing reliable, production-grade technical solutions, ensuring comprehensive documentation of architectures and specifications.
- Defining project problems, developing clear roadmaps, and overseeing end-to-end delivery across multi-disciplinary workstreams.
- Leading technical scoping and feasibility studies for high-value sales opportunities and strategic customer engagements.
- Managing relationships and communications with demanding clients, fostering trust and aligning technical solutions with shared long-term commercial goals.
- Driving the adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft.
- Mentoring and developing other data scientists and team members, actively contributing to the growth and technical excellence of the organisation.
Who we're looking for:
- You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape.
- You are a skilled technical leader, proficient in mentoring individuals, managing teams (including other managers), and rolling out impactful tools and workflows.
- You have proven project management expertise, capable of dividing complex, ill-defined problems into actionable, clearly defined workstreams with timelines you can defend.
- You are adept at managing ill-defined, high-risk tasks, consistently delivering innovative and practical outcomes under commercial pressure.
- You possess strong customer leadership skills, able to act as a trusted technical advisor and drive long-term strategic relationships with demanding clients.
- You excel at cross-functional collaboration, effectively aligning technical strategy with Engineering, Commercial (BD), and Infrastructure teams.
- You have experience extending technical oversight to business unit-level initiatives, using your vision to influence and contribute to organisational success.
Our Interview Process: Talent Team Screen (30 minutes), Introduction to the team (30 minutes), Take Home Technical Assessment, 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.
Remote Lead Data Scientist in Stirling employer: Faculty AI
At Faculty, we pride ourselves on being an exceptional employer that champions innovation and ethical AI solutions. Our collaborative work culture fosters intellectual curiosity and empowers employees to drive meaningful change in high-stakes environments, particularly within our Defence team. With benefits like unlimited annual leave, private healthcare, and a commitment to diversity, we offer a supportive environment where you can grow your career while making a positive impact.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Lead Data Scientist in Stirling
✨Tip Number 1
Network like a pro! Reach out to current employees at Faculty on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the interview by diving deep into Faculty's projects and values. Understand their approach to AI and be ready to discuss how your skills align with their mission. Show them you’re not just another candidate, but someone who truly gets what they do.
✨Tip Number 3
Practice makes perfect! Get a friend to do mock interviews with you. Focus on articulating your technical expertise and how it can drive innovation at Faculty. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team. Let’s get you that Lead Data Scientist role!
We think you need these skills to ace Remote Lead Data Scientist in Stirling
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Data Scientist role. Highlight your experience in machine learning and project management, and show how your skills align with our mission at Faculty.
Showcase Your Impact:When detailing your previous work, focus on the impact you made. Use specific examples that demonstrate your ability to drive innovation and deliver results under pressure, as this is key for us.
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and ensure your achievements are easy to understand.
Apply Through Our Website:We encourage you to apply directly through our website. This way, your application will be reviewed promptly, and you'll be one step closer to joining our team at Faculty!
How to prepare for a job interview at Faculty AI
✨Know Your AI Stuff
Make sure you brush up on your machine learning knowledge and be ready to discuss specific projects you've worked on. Faculty values depth in expertise, so prepare to explain your technical decisions and the impact they had.
✨Show Your Leadership Skills
As a Lead Data Scientist, you'll need to demonstrate your ability to mentor and manage teams. Think of examples where you've successfully led a project or guided a colleague through a complex problem. Be ready to share how you foster collaboration.
✨Understand Their Clients
Familiarise yourself with the sectors Faculty works in, especially defence. Knowing their clients' challenges will help you align your technical solutions with their needs. This shows that you're not just a techie but also understand the business side.
✨Prepare for Scenario Questions
Expect questions about how you'd handle high-stakes situations or manage technical risks. Think through potential scenarios and how you would approach them, balancing innovation with reliability. This will showcase your strategic thinking.
