Lead Data Scientist in City of London

Lead Data Scientist in City of London

City of London Full-Time 48000 - 72000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data science projects and mentor a talented team while delivering innovative AI solutions.
  • Company: Join Faculty, a leader in human-centric AI with a diverse and brilliant team.
  • Benefits: Collaborative culture, professional growth, and the chance to work on cutting-edge AI technology.
  • Why this job: Shape the future of AI and make a real impact with your expertise.
  • Qualifications: Deep knowledge of machine learning, strong Python skills, and experience in project leadership.
  • Other info: Dynamic environment with opportunities to learn from industry experts.

The predicted salary is between 48000 - 72000 ÂŁ per year.

About Faculty

At Faculty, we transform organisational performance through safe, impactful and human‑centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award‑winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.

About the role

This is an exciting opportunity to work on Faculty’s product Frontier, working as a Lead Data Scientist in our Customer Development team. You’ll have a crucial opportunity to shape the technical vision for how we deliver our flagship Frontier product to customers and guide the senior and junior data scientists on your team. You will oversee project teams that configure Frontier for our customers by designing and building bespoke computational twins – our AI‑powered digital twins. Maintaining ownership of the data science approach, you will own the technical vision for these complex deployments, partner directly with clients to shape strategy, and play a vital part in mentoring the next generation of data science talent at Faculty.

What you’ll be doing

  • Project Leadership: Guide the technical delivery of Frontier deployments for clients, from initial discovery through to the build and productionisation of computational twins. Own the end‑to‑end data science approach, designing and implementing the optimal techniques – from EDA and classic machine learning to deep learning – to create high‑performing computational twins within the Frontier platform. Partner with our commercial team and clients to build strong, lasting relationships, acting as a trusted technical advisor on how AI & Frontier can solve their most complex problems. Articulate intricate technical concepts, model design choices, and strategic decisions clearly and effectively to diverse audiences, from client‑side engineers to C‑suite executives.
  • Team Mentorship: Formally manage and mentor a number of data scientists, taking direct responsibility for their career progression and professional growth. Provide targeted technical support and learning opportunities for the data scientists on your project teams, ensuring they are developing their skills in applied data science and on the Frontier platform. Contribute to sustaining our culture by creating an atmosphere of collaboration and setting a high standard for performance and technical excellence within the team.
  • Technical Leadership: Establish a distinct and differentiated data science vision for building computational twins, driving best practices and innovative approaches for configuring the Frontier product. Partner with our commercial and product teams to ensure potential projects are appropriately scoped and resourced, balancing client delivery, colleague wellbeing, and commercial imperatives. Keep abreast of the latest technical and technology advancements in AI, share these with others in the organisation, and identify how they can be incorporated into the Frontier product and our delivery workflows.

Who we’re looking for

You have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques (e.g., supervised/unsupervised machine learning, model cross‑validation, Bayesian inference, time‑series analysis). Strong Python programming skills and an excellent proficiency of the basic libraries for data science (e.g., NumPy, Pandas, Scikit‑Learn) and familiarity with a deep‑learning framework (e.g., TensorFlow, PyTorch). You possess proven experience leading data science projects and making key decisions on technical direction, model selection, and architecture. You are an exceptional communicator, capable of building rapport with clients, translating complex business problems into a mathematical framework, and presenting technical solutions persuasively to senior audiences. You have a strategic, product‑oriented mindset, with an ability to understand the core needs of users and connect them to the value delivered by a technical product like Frontier. You are passionate about developing people and have experience formally managing or mentoring other technical professionals. Commercial experience is essential, particularly if it involved client‑facing work, project management, or consulting. You are motivated to work alongside our clients to ensure the successful delivery of innovative work to strict timelines.

What we can offer you

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

Lead Data Scientist in City of London employer: Faculty

At Faculty, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. As a Lead Data Scientist, you'll not only lead cutting-edge AI projects but also mentor the next generation of talent in a supportive environment that values professional growth and intellectual curiosity. With access to a diverse team of experts and the opportunity to work on impactful AI solutions, your career will thrive in our dynamic London-based setting.
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Contact Detail:

Faculty Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Scientist in City of London

✨Tip Number 1

Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or conferences related to AI and data science. You never know who might be looking for someone just like you!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those that highlight your expertise in machine learning and data science. This is your chance to shine and demonstrate what you can bring to the table.

✨Tip Number 3

Prepare for interviews by practising common questions and scenarios specific to data science roles. Think about how you would explain complex concepts to non-technical audiences, as communication is key in this field.

✨Tip Number 4

Don’t forget to apply 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 our team at Faculty.

We think you need these skills to ace Lead Data Scientist in City of London

Machine Learning
Data Science
Statistical Techniques
Python Programming
NumPy
Pandas
Scikit-Learn
TensorFlow
PyTorch
Project Management
Client-Facing Experience
Technical Communication
Team Mentorship
Strategic Mindset
Problem-Solving

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with machine learning and data science. We want to see how your skills align with the role of Lead Data Scientist at Faculty, so don’t hold back on showcasing your relevant projects!

Showcase Your Communication Skills: Since you'll be working closely with clients and team members, it's crucial to demonstrate your ability to communicate complex ideas clearly. Use your application to illustrate how you've successfully conveyed technical concepts to non-technical audiences in the past.

Highlight Leadership Experience: As a Lead Data Scientist, you'll be mentoring others and guiding project teams. Be sure to include examples of your leadership experience, whether it’s managing projects or mentoring junior data scientists. We love seeing how you’ve helped others grow!

Apply Through Our Website: We encourage you to submit your application through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!

How to prepare for a job interview at Faculty

✨Know Your Stuff

Make sure you brush up on your machine learning techniques and data science methodologies. Be ready to discuss your experience with Python and libraries like NumPy and Pandas, as well as any deep learning frameworks you've used. This is your chance to showcase your technical expertise!

✨Showcase Your Leadership Skills

Since the role involves guiding both senior and junior data scientists, be prepared to share examples of how you've led projects in the past. Talk about your mentoring experiences and how you've helped others grow in their careers. This will demonstrate your ability to foster a collaborative team environment.

✨Communicate Clearly

Practice articulating complex technical concepts in a way that anyone can understand. You might be speaking to clients or executives who aren't as tech-savvy, so being able to translate your knowledge into relatable terms is key. Think of examples where you've successfully communicated intricate ideas.

✨Understand the Business Side

Familiarise yourself with Faculty's products and how they solve client problems. Be ready to discuss how you can connect technical solutions to business needs. Showing that you have a strategic mindset and can balance technical delivery with commercial imperatives will set you apart.

Lead Data Scientist in City of London
Faculty
Location: City of London
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  • Lead Data Scientist in City of London

    City of London
    Full-Time
    48000 - 72000 ÂŁ / year (est.)
  • F

    Faculty

    50-100
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