Data Scientist

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.

As a Data Scientist, you will work closely with clients and cross-functional teams to define project scope, ensure technical feasibility, and drive delivery excellence. You’ll design and deliver bespoke data science solutions, shaping the technical direction of high-impact projects and solidifying our reputation as a leader in practical, measurable AI.

Responsibilities:

• Mapping the end-to-end data science approach and designing the associated software architecture for projects
• Driving the technical scoping and feasibility assessment of new projects
• Building strong client relationships by acting as a technical advisor and shaping the direction of current and future engagements
• Delivering bespoke algorithms and scalable software solutions that adhere to best practices for high-stakes decision-making
• Setting the technical bar for the project team, ensuring the highest standards of code, rigour, and delivery quality (IC leadership)
• Contributing to Faculty's thought leadership and reputation through teaching, public speaking, or open-source projects

Requirements:

• Proven experience in a professional data science or quantitative academic role, underpinned by high mathematical and statistical competence
• Strong Python programming skills, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch)
• Solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new algorithms
• Rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework and measuring model impact upon deployment
• Exceptional communication skills, adept at translating complex technical solutions into persuasive, actionable insights for senior and non-technical audiences
• Ability to contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes