Shire Jobs

Job Description Job Description Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. With proven technology, we process the largest volume of payments in the world, driving the global economy every day. When you join Worldpay, you join a global community of experts and changemakers, working to reinvent an industry by constantly evolving how we work and making the way millions of people pay easier, every day. What makes a Worldpayer? It's simple: Think, Act, Win. We stay curious, always asking the right questions to be better every day, finding creative solutions to simplify the complex. We're dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we're determined, always staying open - winning and failing as one. We're looking for a Senior Data Scientist to join the Worldpay Technology Data team to help enable AI & ML products across the organization and help us unleash the potential of every business. Are you ready to make your mark? Then you sound like a Worldpayer. About the team: As a forward-thinking finance company with headquarters based in Cincinnati, we specialize in innovative payment solutions aimed at streamlining and enhancing the payment processes for businesses and consumers. Our mission is to revolutionize the payments industry by leveraging cutting-edge technology and data-driven insights to foster financial inclusion and efficiency. Join our dynamic team and play a crucial role in driving AI & ML products to shape the future of payments. We are in search of a Senior Data Scientist with a strong background in developing AI & ML solutions to join our growing team within Technology that's enables the entire organization. Partnering with our business colleagues you will use advanced analytics and machine learning to identify opportunities across our merchant base, internal technology and product teams, to build impactful solutions deployed on our cloud infrastructure. The ideal candidate will possess a unique blend of technical data skills, business acumen, and an entrepreneurial spirit to drive growth. What you'll own: Collaborate with business partners to understand and document requirements with specific use cases Data analysis through collecting, processing, and analyzing large data sets from various sources across the business Identify and evaluate new data sources (internal and external) to support and drive improvements in predictive models Utilize advanced data analytics, statistical analysis, hypothesis testing and develop machine learning algorithms to provide business value from data products Implement and deploy models and ML algorithms into a production environment with all the necessary controls in place Create data visualizations and dashboards to communicate findings to stakeholders Stay up-to-date with the latest trends and technologies in data science and machine learning Ensure data quality and integrity throughout the data lifecycle, developing reusable patterns What you bring: Strong knowledge in data science theory, machine learning, artificial intelligence, statistical modelling, data visualization, and data analysis Experience with data preparation, cleansing, feature engineering and modelling Excellent programming skills, preferably in Python Solid understanding of databases architecture and SQL language Experience in delivering xwithin cloud based data platforms Experience with AWS, Snowflake and Databrick plus other cloud-based environment and tools Experience working in Agile cross-functional teams in a project-based environment Excellent verbal and written communication skills to technical and non-technical audiences of various levels in the organization Excellent analytical, decision-making and prob