Data Science Graduate

Posted 4 Days Ago
Be an Early Applicant
Stockholm
In-Office
Entry level
Fintech • Information Technology • Payments
Join a world leader in payments and technology!
The Role
As a Data Science Graduate, you will develop analytics-driven strategies for Visa's clients, applying data science techniques and collaborating with other teams to deliver impactful solutions.
Summary Generated by Built In
Company Description

Please only apply if you meet eligibility requirements.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. 

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. 

Team Description

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments.

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 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.

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 Sweden
  • Graduating in 2025 or in summer 2026.
  • Graduate/Postgraduate degree (Master’s or Ph.D.) in a quantitative field such as (but not limited to) Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent experience
  • Fluent in English, fluency in Swedish is a plus
  • 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

Additional Information

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Top Skills

Spark
Hadoop
Mlp
Python
SQL
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The Company
HQ: San Francisco, CA
26,500 Employees
Year Founded: 1958

What We Do

At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.

We are looking for people like YOU. Come join a people-centric company where you can invest in your career.

For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.

Why Work With Us

Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.

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