Data Science Graduate H/F Visa

The Data Scientist Graduate is a key member of the client-facing Data Science Lab team in the European region. As a Data Scientist, you will be accountable for the development and delivery of analytics-driven strategies and solutions for Visa's external clients in Europe. In this role, you will work collaboratively with VCA and a multitude of internal functions, their senior leaders, and our clients in promoting an insight-driven culture, creative analytic solutions, and best practices to drive business performance with a clear commercial value' and measurable return'. Half of your day will involve delivering projects (coding/working with data), and the other half will be dedicated to discussing data requirements and managing internal and external meetings. Please bear in mind that our workload varies tremendously, as each project is very bespoke. Sometimes we might be delivering a CSV file; another time, a predictive machine learning model or segmentation. Whatever the solution is, you will be involved in the end-to-end process, starting from gathering clients' requirements all the way to delivering actionable insights that enable our clients to make data-driven business decisions.

This role sits in the Paris office, within the France, Belgium and Luxembourg (FBL) cluster, and will report to the Head of Data Science.

Principal Responsibilities

· Promote the use of data science to solve business challenges for external clients, showcasing creative and impactful solutions.

· Collaborate with VCA consultants to identify and develop data science opportunities that support business development and revenue growth.

· Apply predictive modeling and machine learning techniques to improve client outcomes in areas like customer acquisition, retention, and profitability.

· Analyze VisaNet data to uncover key performance metrics and identify issuer P&L opportunities that drive growth for clients and Visa.

· Deliver business-centric insights through effective data visualization and storytelling that support strategic decision-making.

· Engage with internal and external stakeholders to understand business requirements and translate them into actionable data science solutions.

· Manage multiple data science projects, ensuring clear scope, methodology, and alignment with client goals and timelines.

· Develop and execute analytic plans using appropriate statistical and data mining techniques, while maintaining thorough project documentation.

· Enhance existing solutions by introducing new methodologies, tools, and best practices in the field of data science.

· Automate processes and stay current with emerging tools, software, and techniques to continuously improve efficiency and innovation.