Senior Director - Head of Internal Data Science, Visa Europe

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Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

What's it all about?

The Visa Europe Functions and Products Data Science team supports all Data Science work for several internal Visa Europe functions, such as marketing, product, strategy, sustainability, etc. We leverage machine learning, business analytics and other approaches to leverage Visa's transactional data and drive Visa's business objectives. A member of the Visa Europe Data Science team has the opportunity to get exposure to all parts of Visa's business while working with a fun team in a fast-paced environment.

This role will lead the 17-person Visa Europe Functions and Products Data Science team, and the 6-person Data Engineering team. The role will be based at Visa's Paddington office in London, UK.

What we expect from you, day to day:

• Lead a team responsible for scoping and delivering Data Science projects spanning different business functions within Visa Europe
• Data Science thought leadership across Visa Europe including the creation of a compelling vision and long-term road maps that we will execute on
• Interface and influence various internal stakeholders to:
  • Champion the role of Data Science and Data Engineering to senior executives across the business
  • Foster self-serving of basic data needs across the business as well as an appreciation for advanced ML/AI
  • Identify, design and deliver actionable product analytics to monitor performance and identify opportunities
  • Guide the development of consumer segmentation, targeting and forecasting models to enable both opportunity sizing and optimal program execution
  • Present insights and recommendations to technical and non-technical audiences
• Mentor a team of technically proficient Data Scientists to meet their developmental objectives
• Lead a Data Engineering team to drive efficiency and scale for all of Europe Data Science by developing data assets and scaled solutions for internal/external stakeholders

Qualifications

What we're after...

• Relevant experience building and leading technical teams in a highly matrixed organization
• Excellent communication, written, and interpersonal skills with an ability to clearly communicate results to senior level executives as a thought-partner, as well as work well under pressure
• Ability to coach, lead and provide direction to a diverse team of technical personnel
• Results oriented with very strong analytical, consultative, and problem-solving skills, with demonstrated intellectual and analytical rigor
• Team oriented, collaborative, diplomatic, and flexible style, with the ability to communicate data-driven insights and convey actionable recommendations tailored to various audience levels
• Extracting, aggregating and analysing large data sets using HiveQL, Python and/or (Py)Spark
• Devising and implementing statistical modelling and machine learning techniques using Python and/or (Py)Spark
• Generating and visualising data-based insights using BI software such as Tableau or Power BI
• Master's or PhD (or equivalent) in Data Science, Economics, Statistics, Applied Mathematics, Computer Science, Operations Research, Business Analytics or another related technical field

What we'd love...

• Previous exposure to financial services, payments or merchant analytics is a plus

Additional Information

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.

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.