Senior Data Scientist
Quick Summary
we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews.
About the Role
~1 min readAs a Senior Data Scientist, you will lead high-impact AI projects and shape the technical direction of bespoke solutions for some of the most recognisable names in retail and consumer.
You will define the data science approach for each engagement, design robust software architectures, mentor colleagues and ensure delivery rigour across projects. You will also build deep client relationships and strengthen our reputation as a leader in practical, measurable AI.
Responsibilities
~1 min read- →
Leading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the retail and consumer sector
- →
Translating complex business problems into the right data science solutions, and mapping the end-to-end approach so it meets client needs and is technically feasible
- →
Designing the software architecture for data science solutions, working alongside engineering colleagues
- →
Partnering with our commercial teams to build client relationships and shape project scope for technical success
- →
Owning the technical side of the client relationship on projects and in business development, helping to secure successful outcomes
- →
Estimating delivery timelines and leading your team to deliver to a demanding schedule
- →
Supporting the professional growth of data scientists on your projects through mentorship, coaching and feedback
- →
Upholding best practice throughout the project lifecycle, including embedding responsible AI thinking in how problems are framed, not only in how models are evaluated
- →
Contributing to hiring at Faculty
You have senior experience in a professional data science position or a quantitative academic field
You have broad knowledge of state-of-the-art ML and AI, and can apply it, along with novel ideas, to build algorithms for complex data science problems
You hold yourself to rigorous validation standards, ensuring models perform reliably in real-world conditions and edge cases
You can scope projects by assessing technical feasibility and breaking complex workstreams into clear delivery milestones
You have mastery of Python and relevant frameworks, and can architect production-grade infrastructure for sophisticated models and agentic AI systems
You communicate clearly, translating sophisticated models and quantitative findings into actionable strategy for client stakeholders
You care about accountability, transparency and responsible AI, and nurture those habits in the people around you
You enjoy mentoring and developing other data scientists
The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We welcome applications from all backgrounds and are committed to an inclusive recruitment process. [Insert standard Faculty EEO / reasonable adjustments line]
Faculty is the professional challenge of a lifetime.
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.
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.
A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Location & Eligibility
Listing Details
- Posted
- October 9, 2026
- First seen
- October 9, 2026
- Last seen
- October 9, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 53%
- Scored at
- October 9, 2026
Signal breakdown
4 other jobs at
View all →Similar Data Scientist jobs
View all →Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.