Senior Data Scientist

📋 Description

• End-to-End ML & AI Delivery: lead from framing to deployment.
• GenAI & LLM applications: design and build LLM-powered solutions with value.
• Commercial Impact: tie models to revenue, efficiency or conversions.
• Prototyping & Experimentation: rapid testing, metrics, iteration.
• Cross-functional partnership across Commercial, Marketing, Product, Finance, Eng, and Ops.
• Standards & Craft: share best practices and AI governance across the function.

🎯 Requirements

• Commercial Mindset: align models to revenue, efficiency, or outcomes.
• Stakeholder Partnership: work with commercial, marketing, product; communicate clearly.
• Sound Judgement: choose classical ML vs GenAI; scalable solutions.
• Bonus: Marketplace or Two-Sided Platform Experience.
• Proven ML Experience: build, deploy, and maintain ML models in production.
• Full ML lifecycle & MLOps: training, versioning, monitoring, experimentation.

🎁 Benefits

• Hybrid working
• Competitive salary
• Matched pension contributions
• Share options
• Healthcare + eyecare vouchers
• Life Assurance