Senior Data Scientist

Key Responsibilities

• Take full end-to-end ownership of ML and AI solutions from problem framing through to production deployment, monitoring, and iteration
• Deliver production-ready code and manage model lifecycles independently without relying on a dedicated ML engineering team
• Build and scale GenAI and LLM-powered systems for practical operational automation, search, and content understanding
• Design pricing models, propensity signals, and recommendation engines across marketing and core platform products
• Partner directly with Commercial, Product, Operations, and Marketing leadership to translate complex business problems into structured technical solutions
• Champion robust engineering standards, documentation, and experimentation best practices across the team

Required Experience & Skills

• Proven track record of developing, deploying, and maintaining production ML models in Python
• Practical experience with full-lifecycle MLOps including versioning, pipeline orchestration, testing, and real-time monitoring
• Hands-on expertise building and evaluating practical GenAI and LLM applications using modern APIs
• Strong software engineering principles: Git, CI/CD, unit testing, and containerisation via Docker
• Expertise in SQL and modern cloud data warehouses such as Snowflake or BigQuery
• Solid grounding in experimental design, A/B testing, and statistical evaluation
• Marketplace, platform dynamics, or GCP / Vertex AI experience is highly advantageous