Lead Data Scientist, Faculty

Job Description

The [Employer hidden] 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

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

Responsibilities

• 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

Requirements

• 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)
• Strong Python skills and excellent proficiency with core data science libraries (NumPy, Pandas, Scikit-Learn), plus familiarity with deep-learning frameworks (TensorFlow, PyTorch)
• Proven experience leading data science projects, making key decisions on technical direction, model selection, and architecture
• Exceptional communicator, capable of translating complex business problems into mathematical frameworks and presenting persuasive technical solutions to senior audiences
• Strategic, product-oriented mindset, deeply understanding user needs and connecting them to the value delivered by a technical product like Frontier
• Passionate about developing people and experience formally managing or mentoring other technical professionals
• Essential commercial experience, particularly in client-facing work or consulting, and motivated to deliver innovative work successfully to strict timelines

Application Process

• Talent Screen (30 mins)
• Technical Interview (90 mins)
• Commercial and Leadership interview (60 mins)
• Principles Interview (60 mins)

Salary Benchmarks

Data Scientist

Expert: £60k

Senior: £140k