Data Science Data Science Senior Data Scientist (Python) (Remote) in London

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. 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 Our Energy, Transition and Environment business unit is pioneering meaningful change in the clean energy revolution. Our vision is to accelerate the transition to net-zero emissions and drive efficiencies for a new era of utility companies. We believe that the responsible, and intelligent, deployment of AI is critical to the success of this mission. About the roleAs a Senior Data Scientist, you will lead high-impact AI projects and shape the technical direction of bespoke solutions. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigour across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI. Leading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the sector. Conceiving the core data science approach and designing the associated robust software architecture for new engagements. Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects. Partnering with commercial teams to build client relationships and shape project scope for technical feasibility. Contributing to Faculty's thought leadership and reputation through delivering courses, public speaking, or open-source projects. Ensuring best practices are followed throughout the project lifecycle to guarantee high-quality, impactful delivery. You possess senior experience in a professional data science position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms. You exhibit commercial awareness, with experience in client-facing work and the ability to translate business problems into a rigorous mathematical framework. You are skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high-quality work on a strict schedule. Our Interview ProcessTalent Team Screen (30 minutes)Take Home Technical AssessmentTechnical Interview (90 minutes)Commercial Interview (60 minutes)#LI-PRIOOur Recruitment EthosWe 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. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.