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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 while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI.
Responsibilities
- Lead project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the sector.
- Conceive the core data science approach and design the associated robust software architecture for new engagements.
- Mentor a small number of data scientists and support the professional growth of technical team members on projects.
- Partner with commercial teams to build client relationships and shape project scope for technical feasibility.
- Contribute to Faculty’s thought leadership and reputation through delivering courses, public speaking, or open-source projects.
- Ensure best practices are followed throughout the project lifecycle to guarantee high-quality, impactful delivery.
Requirements
- Possess senior experience in a professional data science position or a quantitative academic field.
- 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).
- Have deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms.
- Bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture.
- Exhibit commercial awareness, with experience in client-facing work and the ability to translate business problems into a rigorous 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.
- Eligible for UK Security Clearance (SC) and willing to work on site with clients from time to time.
Skills
- Python programming
- NumPy
- Pandas
- PyTorch
- Supervised learning
- Unsupervised learning
- NLP
- Validation
- Data science toolkit
- Algorithm development
- Leadership
- Team development
- Collaboration
- Commercial awareness
- Client-facing work
- Project planning
- Technical feasibility assessment
- Delivery timeline estimation
Location
- On site with clients
Work Type
- Full-time
- On-site
Experience Level
- Senior
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI that drives significant impact.
- Faculty possesses unparalleled depth of technical, product, and delivery expertise.
- Faculty serves clients across government, finance, retail, energy, life sciences, and defense sectors.
- Faculty's business and reputation are growing rapidly.
- Faculty seeks individuals with intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty empowers employees to envision and implement powerful AI applications.
- The Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good.
- Faculty's work includes informing strategic government decisions, optimizing the NHS, and reducing bureaucratic backlogs.
- Faculty leads impactful work in the government sector.
Equal Opportunity
- Faculty aims to grow the best team, not the most similar one, recognizing that diversity of individuals fosters diversity of thought.
- Diverse teams deliver better work, relevant to the world.
- Faculty is united by deep intellectual curiosity and a desire to use abilities for measurable positive impact.
- Applications are strongly encouraged from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
- Faculty encourages applications even if not all requirements are met, if the candidate is excited by the role and brings key strengths.
- Faculty is open to conversations about part-time hours.
- Faculty permits the use of AI for research and interview preparation but not for generating answers during live interviews.
- Faculty uses an AI note-taker (Metaview) in interviews, with an opt-out option.
- Every application is reviewed by a human, never decided by AI.