About Visa
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you’ll have the opportunity to create impact at scale – tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Job Description
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 to promote an insight-driven culture, creative analytic solutions, and best practices to drive business performance with 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. Workload varies tremendously; each project is very bespoke – sometimes you may deliver a CSV file, another time a predictive machine learning model or segmentation. You will be involved in the end‑to‑end process, from gathering clients’ requirements to delivering actionable insights that enable data-driven business decisions.
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.
Qualifications
- Permanent right to work in the UK.
- Graduating in 2025 or summer 2026, ready to start on October 6th.
- Graduate/Postgraduate degree (Master’s or Ph.D.) in a quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent experience.
- Fluent in English.
- Ability to communicate with impact and interest in working in a consulting‑like environment and client‑facing project roles.
- Familiarity with modern distributed systems, including Hadoop, SQL, MLP, and Apache Spark.
- Familiarity with one or more data analytics/programming tools such as Python.
- Knowledge of applying predictive modelling and machine learning techniques to problems.
Visa requires at least 3 days in office; expectations for these days will be confirmed by your Hiring Manager.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
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