Senior Data Scientist - Banking

As a Senior Data Scientist/Data Scientist at our company, you will play a crucial role in driving data-driven insights and contributing to the Retail Banking industry. Your responsibilities will include: - Developing and implementing advanced data models to analyse customer behaviour and business performance. - Utilising machine learning algorithms to optimise banking processes and enhance customer experience. - Generating actionable insights from large datasets to support decision-making in Retail Banking. - Creating and maintaining dashboards and reports for tracking key performance indicators. - Ensuring data quality and integrity through thorough validation and cleaning processes. - Supporting the development of predictive models for risk assessment and loan management. To excel in this role, you should have: - A strong academic background in Mathematics, Statistics, Computer Science, or a related field. - Proficiency in programming languages such as Python, R, or SQL. - Experience working with large datasets and data visualisation tools. - Knowledge of machine learning techniques and their practical applications. - Familiarity with the Financial Services industry, particularly Retail Banking & Loans Providers. Additionally, we offer a comprehensive holiday leave and benefits package, along with exposure to innovative projects in the Financial Services sector. If you are passionate about leveraging data science to drive impactful outcomes in Retail Banking, we welcome you to apply for this exciting opportunity. As a Senior Data Scientist/Data Scientist at our company, you will play a crucial role in driving data-driven insights and contributing to the Retail Banking industry. Your responsibilities will include: - Developing and implementing advanced data models to analyse customer behaviour and business performance. - Utilising machine learning algorithms to optimise banking processes and enhance customer experience. - Generating actionable insights from large datasets to support decision-making in Retail Banking. - Creating and maintaining dashboards and reports for tracking key performance indicators. - Ensuring data quality and integrity through thorough validation and cleaning processes. - Supporting the development of predictive models for risk assessment and loan management. To excel in this role, you should have: - A strong academic background in Mathematics, Statistics, Computer Science, or a related field. - Proficiency in programming languages such as Python, R, or SQL. - Experience working with large datasets and data visualisation tools. - Knowledge of machine learning techniques and their practical applications. - Familiarity with the Financial Services industry, particularly Retail Banking & Loans Providers. Additionally, we offer a comprehensive holiday leave and benefits package, along with exposure to innovative projects in the Financial Services sector. If you are passionate about leveraging data science to drive impactful outcomes in Retail Banking, we welcome you to apply for this exciting opportunity.