Lead Data Scientist
Leads high-impact AI project teams at Faculty AI's Public Services unit, defining data science approaches and software architecture for bespoke government-facing solutions while mentoring data scientists and managing delivery. Core stack: Python (NumPy, Pandas, PyTorch); UK Security Clearance eligibility may be needed for client work.
- Compensation
- Not disclosed
- Location
- London
- Work setup
- Hybrid
- Seniority
- Lead
- Employment
- Part time
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- Senior experience in a professional data science position or a quantitative academic field
- Fluent Python programming with core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch)
- Deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation) and the standard data science toolkit, including developing new algorithms
- Leadership mindset focused on growing the team's technical capabilities and nurturing a collaborative culture
- Commercial awareness with client-facing experience and ability to translate business problems into a rigorous mathematical framework
- Skills in project planning, assessing technical feasibility, estimating timelines, and leading teams to deliver on a strict schedule
- Eligibility for UK Security Clearance (SC) and willingness to work on site with government clients from time to time
Full description
Why Faculty?
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.
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.
About the team
Our Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good.
From our work informing strategic government decisions, to optimising our NHS, through to reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.
Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time.
About the role
As a Senior Data Scientist, you will lead high-impact AI projects and shape the technical direction of bespoke solutions. This role requires hands-on technical excellence combined with crucial team leadership.
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.
#LI-PRIO
What you'll be doing:
- 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.