Senior Data Scientist

Overview

As a Senior Data Scientist at Faculty, you lead high-impact AI initiatives within the Retail & Consumer team, shaping technical direction and delivering bespoke, measurable AI solutions. You’ll translate business problems into data science strategies, design robust software architectures, and mentor colleagues to ensure delivery excellence. You’ll build strong client relationships and uphold responsible AI practices throughout the project lifecycle. This role offers the chance to influence strategy, drive real-world impact in retail, and grow as a technical and client-facing leader.

Responsibilities

• Lead project teams delivering bespoke algorithms and high-stakes AI solutions for retail and consumer clients
• Translate business problems into data science solutions and map end-to-end delivery
• Design software architecture for data science solutions with engineering colleagues
• Partner with commercial teams to shape project scope and secure technical success
• Own the technical side of client relationships on projects and business development
• Estimate delivery timelines and guide teams to meet demanding schedules
• Mentor and support the growth of data scientists on projects
• Uphold best practices across the project lifecycle, embedding responsible AI thinking
• Contribute to hiring at Faculty

Key requirements

• Senior experience in a professional data science role or a quantitative academic field
• Broad knowledge of state-of-the-art ML and AI and ability to apply it to complex problems
• Rigorous validation standards to ensure reliable real-world performance
• Ability to scope projects by assessing feasibility and breaking work into milestones
• Mastery of Python and frameworks; ability to architect production-grade infrastructure for advanced models
• Strong communication to translate models and findings into client strategy
• Commitment to accountability, transparency and responsible AI
• Enjoy mentoring and developing other data scientists
• clear communication
• mentoring
• client relationship management
• Python
• state-of-the-art ML/AI techniques
• production-grade infrastructure for models

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