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Faculty · 3 months ago

Lead Data Scientist

London - Hybrid

Full-time

Hybrid

Lead/Staff

Faculty is a company that transforms organisational performance through AI, providing consultancy and software to global customers. The Lead Data Scientist will oversee the technical vision for the Frontier product, guiding a team of data scientists and partnering with clients to deliver bespoke AI solutions.

Artificial Intelligence (AI)B2BInformation TechnologyMachine LearningSaaSSoftware

Growth Opportunities

Responsibilities

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

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

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

Qualification

Machine LearningPythonData Science TechniquesDeep Learning FrameworksProject ManagementTeam MentorshipClient CommunicationCommercial ExperienceStrategic Mindset

Required

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)

Proven experience leading data science projects and making key decisions on technical direction, model selection, and architecture

Exceptional communicator, capable of building rapport with clients, translating complex business problems into a mathematical framework, and presenting technical solutions persuasively to senior audiences

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

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