Remote Lead Data Scientist in Peterborough

Remote Lead Data Scientist in Peterborough

Peterborough Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead innovative AI projects and mentor a dynamic team of data scientists.
  • Company: Join Faculty, a pioneering AI company transforming industries with human-centric solutions.
  • Benefits: Enjoy unlimited annual leave, private healthcare, and family-friendly flexibility.
  • Other info: Flexible remote work options and opportunities for professional growth.
  • Why this job: Make a real impact in defence with cutting-edge AI technology.
  • Qualifications: Expertise in machine learning and strong leadership skills required.

The predicted salary is between 70000 - 90000 £ 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 Peterborough 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 offers ample opportunities for professional growth, particularly in our Defence team where you can make a meaningful impact on national security. With benefits like unlimited annual leave, private healthcare, and family-friendly flexibility, we empower our employees to thrive both personally and professionally while working from our London office or remotely across the UK.

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Contact Details:

Faculty AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Lead Data Scientist in Peterborough

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 or mentor to conduct 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!

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 Peterborough

Machine Learning Expertise
Technical Leadership
Project Management
Cross-Functional Collaboration
Customer Relationship Management
Mentoring and Development
Technical Direction Setting

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 high-quality solutions, especially in complex environments.

Be Clear and Concise:Keep your application clear and to the point. Avoid jargon and ensure your technical expertise shines through without overwhelming us with unnecessary details. We appreciate clarity!

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 this exciting opportunity to join our Defence team.

How to prepare for a job interview at Faculty AI

Know Your AI Stuff

As a Lead Data Scientist, you’ll need to showcase your expertise in machine learning. Brush up on the latest trends and be ready to discuss how you've applied them in real-world scenarios. Prepare examples that highlight your technical depth and how you've driven innovation in past projects.

Master the Art of Communication

You’ll be managing relationships with demanding clients, so practice articulating complex technical concepts in simple terms. Think about how you can align your solutions with their commercial goals. Role-play potential client conversations to build your confidence.

Showcase Your Leadership Skills

This role involves mentoring and leading teams, so be prepared to discuss your leadership style. Share specific instances where you’ve guided others through challenging projects or fostered collaboration across teams. Highlight your ability to manage high-risk tasks effectively.

Prepare for Technical Challenges

Expect to tackle complex problems during the technical interview. Review common data science challenges and think through your problem-solving approach. Practise breaking down ill-defined problems into actionable steps, as this will demonstrate your project management expertise.