Lead Data Scientist - Customer Development

London, United Kingdom
3 months ago
Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
11 Feb 2026 (3 months ago)

Benefits

Professional development Mentoring opportunities Client-facing experience

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. 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.

About the role

As aLead Data Scientist to define the technical future of our flagshipFrontier product, you will lead project teams in designing and building bespokecomputational 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.

Who we're looking for:

  • 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

  1. Talent Screen (30 mins)

  2. Technical Interview (90 mins)

  3. Commercial and Leadership interview (60 mins)

  4. Principles Interview (60 mins)

#LI-PRIO

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 & Flexible working

  • Sanctus Coaching

  • Hybrid Working

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer (Forward Deployed)

Mind Foundry Oxford/ Hybrid, Oxfordshire, United Kingdom
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid

Lead Data Scientist

Faculty AI London, United Kingdom
Hybrid

Lead Data Scientist

Technify Talent Limited United Kingdom
£80,000 – £90,000 pa Remote

Lead Data Scientist

Morgan McKinley London, United Kingdom
£67,000 pa Hybrid Clearance Required

Lead Data Scientist - Financial Crime

Data Idols Farringdon, Greater London, London, EC1M 4BJ, United Kingdom
£85,000 – £110,000 pa Hybrid

Data Scientist / AI Engineer

Searchability NS&D Cheltenham, United Kingdom
£45,000 – £95,000 pa On-site Clearance Required

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

AI Jobs UK 2026: What to Expect Over the Next 3 Years

Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.