Data Science Analyst

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.

What it's all about:

As a Data Scientist, you will be driving data innovations for Visa Consulting & Analytics, working closely with clients and various Visa departments to create and develop Europe-wide data solutions for card issuers.

What we expect from you day to day:

• Support consulting projects with data analytics.
• Understand client needs and develop data-driven solutions.
• Engage with clients alongside consultants.
• Develop proof of value and business case simulations.
• Test solutions within local data science teams.
• Improve existing data solutions.
• Facilitate solution sales and develop collateral.
• Ensure data science output quality and accuracy.
• Develop new solution ideas for diverse clients.
• Prioritize new solution development with stakeholders.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

What we're after: 

•    2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)
•    Master’s/Ph.D. in Computer Science, Data Science, Statistics, or related field.
•    Proven experience in a data science role.
•    Strong problem-solving and analytical skills.
•    Excellent client-facing and communication skills.
•    Strong experience with data science tools and programming languages such as Python, R and SQL.
•    Ability to explain technical concepts to non-technical audiences.
•    Experience or willingness to learn data visualization tools (Tableau, PowerBI).
•    Experience in the payments/financial sector is a plus.
•    Ability to work in a fast-paced, deadline-driven environment.
•    Fluency in English.

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