This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Lead Data Scientist – Pricing & Personalisation (11‑month FTC, Hybrid London). An established, consumer‑facing brand is hiring a Lead Data Scientist for an 11‑month maternity cover. This is a rare chance to shape the future of pricing, revenue optimisation and personalisation across a high‑profile digital loyalty and rewards business. You’ll lead a small, ambitious data science team, owning the design and delivery of machine learning and optimisation models that drive dynamic pricing, customer intelligence and personalised experiences. You will be the day‑to‑day technical authority, partnering closely with Product, Revenue Management, Pricing and Engineering to take models from idea to production and measure real‑world impact.
Job Responsibility:
Lead the design, development and deployment of ML and AI‑powered data products for pricing and revenue
Act as technical lead across modelling work, championing rigour, robustness and reliability
Guide customer intelligence and personalisation models, including recommender systems
Work with Product, Delivery and ML Engineering to productionise models and monitor performance
Mentor and support data scientists, fostering curiosity, learning and technical excellence
Promote a data‑driven culture through experimentation, storytelling and clear communication
Requirements:
Proven experience implementing or optimising revenue management systems and pricing strategies
Strong background in optimisation and machine learning (time‑series forecasting, regression, mathematical optimisation)
Experience leading or managing data scientists on impactful ML / optimisation projects
Excellent Python and SQL skills, with clean, maintainable code
Practical MLOps experience (deployment, monitoring, lifecycle management) in a cloud environment (AWS or similar)
Comfortable working with large, imperfect datasets and making sound, pragmatic decisions
Nice to have:
Familiarity with recommender systems, personalisation or generative AI