Senior Data Scientist

📋 Description

• Lead data science initiatives from problem framing through to deployment, monitoring, and iteration
• Design and build LLM-powered solutions where they create genuine business value — document
• Connect your work directly to business outcomes. Build models to improve marketing efficiency
• Move fast to test ideas before committing, define rigorous success metrics, validate honestly, and
• Work closely with Commercial, Marketing, Product, Finance, Engineering and Operations stakeholders
• Contribute to shared best practices and raise the bar for the data science function, helping junior

🎯 Requirements

• Commercial mindset: think about business impact first, understand how models connect to revenue
• Stakeholder Partnership: proven ability to work with commercial, marketing, and product
• Clear judgement on tool selection: know when classical ML is right, when GenAI unlocks something
• [Bonus] Marketplace or Two-Sided Platform Experience.
• Proven experience building, deploying, and maintaining ML models in Python in production.
• Full-lifecycle delivery (MLOps): model training, versioning, monitoring, champion/challenger

🎁 Benefits

• Hybrid working
• Competitive salary
• Matched pension contributions
• Share options
• Vitality Private Healthcare and eyecare vouchers
• Life Assurance