Lead Data Scientist

As a Lead Data Scientist to define the technical future of our flagship Frontier product, you will lead project teams in designing and building bespoke computational twins-AI-powered digital twins-that transform client decision-making. This role demands ownership of the technical data science vision, direct client partnership, and mentoring the next generation of data science talent. This is a pivotal opportunity to drive innovative, high-impact AI deployments.

What you'll be doing:

• Guiding the technical delivery of Frontier deployments, from initial discovery to the productionisation of computational twins.
• Owning the end-to-end data science approach, including designing and implementing optimal techniques from EDA to deep learning.
• Partnering with commercial teams and clients as a trusted technical advisor to build strong, lasting relationships.
• Articulating complex technical concepts, model design choices, and strategic decisions clearly to diverse C-suite and engineering audiences.
• Formally managing and mentoring data scientists, taking direct responsibility for their professional growth and career progression.
• Establishing a distinct data science vision and driving best practices for configuring the Frontier product.
• Keeping abreast of the latest advancements in AI and identifying how they can be incorporated into the Frontier product and delivery workflows.

• You have deep technical expertise in machine learning and a command of diverse statistical and data science methodologies (e.g., supervised/unsupervised learning, Bayesian inference, time-series analysis).

• You possess strong Python skills and excellent proficiency with core data science libraries (NumPy, Pandas, Scikit-Learn), plus familiarity with deep-learning frameworks (TensorFlow, PyTorch).

• You have proven experience leading data science projects, making key decisions on technical direction, model selection, and architecture. You are an exceptional communicator, capable of translating complex business problems into mathematical frameworks and presenting persuasive technical solutions to senior audiences.

• You possess a strategic, product-oriented mindset, deeply understanding user needs and connecting 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.

• You bring essential commercial experience, particularly in client-facing work or consulting, and are motivated to deliver innovative work successfully to strict timelines. Interview Process

• 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)

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 The Faculty Frontier TM product is our ambitious vision to create the first enterprise-grade platform that unifies decision intelligence with AI Agents to optimise real-world outcomes of critical processes across large-scale organisations. You will work on highly complex and consequential problems across the real economy, with particular focus on healthcare and life sciences.