TL;DR
Senior Data Scientist (AI Engineering): Leading AI projects and shaping technical solutions with an accent on hands-on technical excellence and team leadership. Focus on defining data science approaches, designing software architectures, and mentoring junior colleagues to deliver impactful AI solutions.
Location: Hybrid in London
Company
Faculty helps over 350 global customers transform their performance through human-centric AI.
What you will do
- Lead project teams delivering bespoke algorithms and high-stakes AI solutions.
- Conceive the core data science approach and design robust software architecture for new engagements.
- Mentor data scientists and support professional growth.
- Partner with commercial teams to build client relationships and shape project scope.
- Contribute to Faculty’s thought leadership through courses, public speaking, or open-source projects.
- Ensure best practices are followed throughout the project lifecycle.
Requirements
- Senior experience in a professional data science position or a quantitative academic field.
- Strong programming skills with fluent Python, core libraries (NumPy, Pandas), and a deep-learning framework (e.g., PyTorch).
- Deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation).
- Leadership mindset, focused on growing technical capabilities and nurturing a collaborative culture.
- Commercial awareness, with experience in client-facing work and the ability to translate business problems into a mathematical framework.
- Skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high-quality work on a strict schedule.
Culture & Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
Hiring process
- Talent Team Screen (30 minutes)
- Take Home Technical Assessment
- Technical Interview (90 minutes)
- Commercial Interview (60 minutes)