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Faculty AI

Enterprise AI software and consulting services

Lead Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Senior experience in a professional data science position or a quantitative academic field.
  • Fluent Python programming, using core libraries such as NumPy and Pandas and a deep-learning framework such as PyTorch.
  • Deep expertise in core data science paradigms, including supervised and unsupervised learning, natural language processing, and validation, with proficiency across the standard data science toolkit and the ability to develop new algorithms.
  • Commercial awareness and client-facing experience, including the ability to translate business problems into a rigorous mathematical framework.
  • Project planning skills, including assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high-quality work on a strict schedule.

Responsibilities

  • Lead project teams delivering bespoke algorithms and high-stakes artificial intelligence solutions to clients across the sector.
  • Conceive the core data science approach and design the associated robust software architecture for new engagements.
  • Mentor a small number of data scientists and support the professional growth of technical team members on projects.
  • Partner with commercial teams to build client relationships and shape project scope for technical feasibility.
  • Contribute to Faculty’s thought leadership and reputation through delivering courses, public speaking, or open-source projects.
  • Ensure best practices are followed throughout the project lifecycle to guarantee high-quality, impactful delivery.

About the Company

Faculty AI

Enterprise AI software and consulting services

Faculty AI provides AI as a service that combines strategy, software and hands-on delivery to help organizations implement AI solutions across sectors such as government, healthcare, retail and energy. Its Frontier decision intelligence software helps clients simulate and understand cause‑and‑effect relationships, while Faculty supports data work, model development and deployment through consulting and engineering delivery. The company differentiates itself by offering end‑to‑end, enterprise‑scale AI implementations centered on decision intelligence, backed by a track record with high‑profile clients like the NHS, Red Bull, Virgin Media and Moonpig. Its goal is to help organizations become data‑driven by deploying scalable AI systems that improve efficiency, decision accuracy and operational performance, while expanding internationally.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$56.5M
Headquarters
London, United Kingdom
Founded
2014

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