Honda Bank is evolving its data landscape towards a modern lakehouse architecture and advanced analytics capabilities. We are looking for a Data Science & Predictive Analytics Specialist to turn complex data into reliable insights, scalable models, and production ready analytics that support business decisions across multiple European entities.In this role, you will work at the intersection of data engineering, advanced analytics, and machine learning. You will help design high quality datasets, build predictive models, and translate analytical findings into clear business value in a regulated financial environment.If you are passionate about data science, predictive modelling, and building robust analytical solutions that go beyond dashboards, this is an opportunity to shape the future of data driven decision making at Honda Bank.TasksData Architecture & Engineering CollaborationCollaborate with Data Engineers to design and build scalable, production grade data pipelines using AWS Glue, S3, Athena, and Redshift.Support the transition from legacy data warehouse structures to a lakehouse architecture with bronze, silver, and gold layers.Contribute to the design of high quality, well documented datasets for analytical use.Provide analytical input on ETL and ELT design, data quality, and performance optimisation.Data Analysis & InsightsConduct advanced statistical analysis to identify trends, patterns, and correlations in large datasets.Perform exploratory data analysis and hypothesis testing.Translate complex analytical findings into actionable business recommendations.Prepare reports and presentations for technical and non technical stakeholders.Machine Learning & Predictive AnalyticsDesign, develop, and deploy machine learning models for business use cases.Apply supervised, unsupervised, and time series forecasting techniques.Build and maintain reproducible model pipelines integrated into production environments.Monitor model performance and drive continuous improve