Sr. Manager, Data Science

28 March 2024
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Deadline date:
£140000 - £227000 / year

Job Description

Company Description

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.

Job Description

  • Manage and deliver analytics benchmarking reports from conception to completion with actionable insights and recommendations.
  • High interaction with external clients and manage internal and external stakeholders.
  • Define detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques
  • Work with the broader Visa data science team to create data driven solutions.
  • Focus on building data science visualization capabilities to solve client’s problems.
  • Drive innovation through using data science techniques
  • Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.
  • Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.
  • Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.


  • Degree (masters would be an advantage) in quantitative field such as statistics, mathematics, operational research, computer science, economics, or engineering or equivalent.
  • 7+ years of experience in performing data exploration, feature engineering and data visualization.
  • Proficiency with data visualization experience with Python, Hadoop, Hive, Impala or similar instruments Practical experience in building and applying machine learning models (regression, clustering, classification gradient boosting, random forests, linear models, deep learning etc.) understanding in how these algorithms work and end-to-end development skills from business understanding and data preparation to delivery

Additional Information

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.