Applied Data Scientist

About the role

We're the world's leading provider of secure financial messaging services, headquartered in Belgium. We are the way the world moves value - across borders, through cities and overseas. No other organisation can address the scale, precision, pace and trust that this demands, and we're proud to support the global economy. We're unique too. We were established to find a better way for the global financial community to move value - a reliable, safe and secure approach that the community can trust, completely. We're always striving to be better and are constantly evolving in an ever-changing landscape, without undermining that trust. Five decades on, our vibrant community reflects the complexity and diversity of the financial ecosystem. We innovate diligently, test exhaustively, then implement fast. In a connected and exciting era, our mission has never been more relevant. Swift now has a presence in 200+ countries and legal territories to serve a community of more than 12,000 banks and financial institutions. You are applying for an Applied Data Scientist position in the team that has access to one of Swift's most valuable assets: its data. Your mandate is to find innovative ways of leveraging that data, either to support the strategy of the company or to design new data-driven insight or solutions for our customers. How? By leveraging AI and data science techniques. As an Applied Data Scientist, you will be involved in topics including anomaly detection, predictive modelling, synthetic data generation and exploring the opportunities of generative AI. The financial industry is a fast-moving environment as emerging firms are making inroads into critical financial services. This fast-paced evolution is reshaping financial services providing consumers with new, convenient options while challenging established norms. Swift has a unique position in the global financial ecosystem, meaning you will have the opportunity to design services that have a global impact and high added value for our customers. The team you will be joining is composed of Applied Data Scientists and Automation experts working in the AI, Analytics and Automation Tribe.