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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.
Skills
- Python
- NumPy
- Pandas
- PyTorch
- Supervised learning
- Unsupervised learning
- NLP
- Validation
- Data science toolkit
- Algorithm development
- Leadership
- Client-facing communication
- Project planning
- Technical feasibility assessment
- Delivery timeline estimation
Location
- Hybrid Working
Work Type
- Hybrid Working
Experience Level
- Senior
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
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 delivers significant impact.
- Faculty possesses unparalleled depth of technical, product, and delivery expertise.
- Faculty's clients span government, finance, retail, energy, life sciences, and defense.
- 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 the most powerful applications of AI.
- The Energy, Transition and Environment business unit is pioneering change in the clean energy revolution.
- The Energy, Transition and Environment business unit's vision is to accelerate the transition to net-zero emissions and drive efficiencies for utility companies.
- The Energy, Transition and Environment business unit believes in the responsible and intelligent deployment of AI.
- The Energy, Transition and Environment business unit partners with clients including major energy operators, GreenTech startups, and national infrastructure providers.
- The Energy, Transition and Environment business unit builds solutions that return measurable impact and contribute to a smarter, cleaner, and more sustainable world.
Equal Opportunity
- Faculty aims to grow the best team, not the most similar one, recognizing that diversity of individuals fosters diversity of thought.
- Faculty believes that 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.
- Faculty strongly encourages applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
- Faculty is open to conversations about part-time hours.
- Faculty is happy for candidates to use AI for research and interview prep, but not to generate answers during live interviews.
- Faculty uses an AI note-taker (Metaview) in interviews, with an option to opt out.
- Every application is reviewed by a human, never decided by AI.