Senior Data Scientist

Responsibilities

• Optimize existing yield and matching models to improve consistency, performance, and forecasting accuracy
• Analyze historical trading data to identify patterns and opportunities for enhanced efficiency
• Develop actionable strategies based on statistical analyses and insights from historical datasets
• Collaborate with developers and commercial leaders to integrate data-driven improvements into operational workflows
• Present technical findings effectively to non-technical stakeholders to ensure actionable understanding
• Own the end-to-end lifecycle of data science projects, from hypothesis generation to production deployment
• Drive innovation in yield optimization within a 24/7 production environment
• Assist commercial stakeholders with scenario planning and forecasting

Requirements

• Deep expertise in statistical programming languages such as Python or R
• Proven experience in yield or pricing optimization within large online marketplaces (e.g., research, insurance, travel, or programmatic media)
• Strong proficiency in SQL and data manipulation tools
• Experience with Machine Learning, predictive modeling, and advanced statistical techniques
• Understanding of forecasting and optimization techniques in discrete choice environments
• Knowledge of cloud platforms such as AWS (Redshift) or Azure for scalable data operations
• Ability to translate complex findings into actionable strategies using tools like PowerBI

Benefits

• 25 days annual leave (increasing with tenure)
• Health cash plan and life assurance
• Income protection
• Enhanced employer pension contribution
• Award-winning voluntary flexible benefits covering lifestyle, health, wealth, and wellbeing

About the Company

Kantar is the world’s leading AI-native marketing data and analytics business. We combine meaningful attitudinal and behavioural data with deep expertise and advanced analytics to uncover how people think and act, helping the world's top companies shape their future marketing strategies.