Description
As a Senior Data Scientist at Faculty, you will lead high-impact AI projects and shape the technical direction of bespoke solutions for 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 Faculty's reputation as a leader in practical, measurable AI.
Responsibilities include:
- 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 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
Requirements:
- Senior experience in a professional data science position or a quantitative academic field
- Broad knowledge of state-of-the-art ML and AI, and ability to apply it to build algorithms for complex data science problems
- Mastery of Python and relevant frameworks, and ability to architect production-grade infrastructure for sophisticated models and agentic AI systems
- Strong communication skills, with ability to translate sophisticated models and quantitative findings into actionable strategy for client stakeholders
- Commitment to accountability, transparency and responsible AI