📍
Paris, France

Data Science Graduate

Graduate Program
Finance
Data / Analytics
Posted:
December 29, 2025

Visa

Global digital payments and financial network
79.1
Palpable Score
Apply >view company >

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.

Qualifications

What we’re after:

· Permanent right to work in France

· Graduated in 2024 or 2025. Ready to start as early as possible.

· Preferred qualification: graduate/postgraduate degree (Master’s or Ph.D.) from Engineering Schools or in a quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent experience.

· Fluent in French as well as 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.

About the company

Visa

Company overview
Visa is a global payments technology company that runs the network that helps move money between consumers, merchants, financial institutions, and government entities. The company provides services like authorization, clearing, and settlement that sit behind many card and digital payment experiences. Visa operates across 200+ countries and territories and works with partners ranging from banks to fintechs and large merchants. The company’s products also extend into areas like risk, fraud, data-driven services, and advisory work.

Locations and presence

Visa has major hubs in the United States (including Foster City, San Francisco, Austin, and Atlanta) alongside offices across many global regions. The company publicly positions most roles as hybrid, with examples in job postings noting set in-office days and a policy that allows short periods working from another location for eligible hybrid roles.

Palpable Score

79.1
/ 100
Visa has a broad and repeatable early-career funnel, including a global internship program and multiple structured rotational programs with clear eligibility windows. The strongest evidence sits in learning support and early-career program design, while the weaker area is end-to-end hiring transparency because public details on interview stages and feedback norms are limited.
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