faculty - Senior Data Scientist
Requirements
• 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., PyTorch). • 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 bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture. • 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 PROCESS • 1. Talent Team Screen (30 minutes) • 2. Take Home Technical Assessment • 3. Technical Interview (90 minutes) • 4. Commercial Interview (60 minutes) • 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.
Responsibilities
• 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.
Benefits
• 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 https://faculty.ai/impact. • 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. • 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.
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