Senior Data Scientist

In this role you will lead advanced optimisation projects and shape scalable ML architectures to improve payment flows. You’ll work with a team of data scientists to design decisioning systems that balance complex business objectives. Expect to translate data insights into robust, production-ready models and collaborate with product partners to drive impact at scale. This is a fast-moving role with opportunities to influence fintech solutions and data-driven .

• hybrid working model
• flexible in-office schedule (three days per week)
• growth opportunities
• collaborative culture
• impactful work in fintech
• global team exposure

• Lead projects and architecture design for multi-objective optimisation and scalable models
• Create custom loss functions, evaluation, and tuning frameworks for complex business problems
• Collaborate with product stakeholders to align technical strategy with business goals
• Apply efficient data transformations using distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems
• Mentor junior team members and utilise model explainability methods to drive feature performance improvements

• 5+ years of experience designing, building and maintaining ML models for large-scale problems
• Deep understanding of frequentist and Bayesian statistics; supervised and unsupervised techniques
• Experience modelling complex interactions (e.g., cluster or network effects)
• Expertise in model explainability and feature engineering
• Proficiency in high-quality production-grade Python code and cross-functional collaboration
• Experience leveraging LLMs for coding support and process optimisation
• Strong communication skills tailored to broad audiences
• Proven ability to build trusting relationships with product stakeholders and understand business models

• collaboration with cross-functional teams
• mentoring junior members
• clear technical communication
• Spark
• Dask
• Python production-grade code