Data Scientist

About the Role We are looking for a Data Scientist to contribute to the development and maintenance of an analytical platform supporting AI models for Open Banking businesses across several European countries. You will work with large datasets, develop analytical and machine-learning solutions, automate data-processing workflows and help ensure that models are scalable, interpretable and production-ready. Key Responsibilities Explore and analyze data to identify patterns, trends and business insights. Develop and optimize analytical models, machine-learning models and supporting tools. Translate business requirements into appropriate data science solutions. Develop solutions primarily using Python. Run analytical engines on daily, weekly or monthly schedules and automate their execution. Work with development teams to improve the scalability and performance of analytical engines. Optimize code and resource usage, including memory and CPU consumption. Ensure model code is well documented, maintainable and production-ready. Ensure developed models are understandable and interpretable. Monitor model performance and evaluate results against business requirements. Identify and investigate potential model bias. Collaborate with Data Analysts, developers and business stakeholders. Support and mentor junior team members. Requirements Degree in Information Technology, Computer Engineering, Mathematics, Statistics or a related field, or at least 3 years of relevant professional experience. Strong Python programming and scripting skills. Good understanding of machine learning concepts. Knowledge of statistical analysis, including A/B testing and significance testing. Strong quantitative and analytical skills. Experience with Git and CI/CD development pipelines. Familiarity with Agile environments and tools such as Jira. Experience working with relational and/or graph databases. Knowledge of databases such as Vertica, Oracle or SQL Server is an advantage. Experience with ETL processes. Familiarity with BI and visualization tools such as Tableau or Power BI. Good communication and collaboration skills. Strong attention to detail and focus on delivery. Ability to adapt and take initiative. Fluency in English. Knowledge of another European language is an advantage.