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Senior Data Science Manager, Head of N&B Client Analytics

Location

Stockholm, SWEDEN

JobType

full-time

About the role

At Visa, we're reinventing commerce by delivering innovative payment solutions that enable the movement of digital commerce and cash transactions. The Visa Network & Branch (N&B) Client Analytics Team is a global team focused on driving business value for our clients through advanced data analytics and machine learning. We are currently looking for a Senior Data Science Manager, Head of N&B Client Analytics to lead our analytics initiatives and partner with clients to solve their most pressing challenges. In this role, you will: - Lead a team of Data Scientists and Engineers to deliver cutting-edge analytics solutions that drive client value - Develop and implement advanced data science and machine learning models to uncover insights and drive business decisions - Partner closely with our client teams to understand their needs and translate that into high-impact data science solutions - Identify and drive strategic initiatives that will scale our analytics capabilities and expand our impact - Provide technical leadership and mentorship to the team to continuously build their skills and knowledge - Stay up-to-date with the latest data science trends and technologies to ensure we are leveraging best-in-class approaches

About the company

Visa is a global payments technology company that connects consumers, businesses, financial institutions, and governments in more than 200 countries and territories to fast, secure and reliable electronic payments. We operate one of the world's most advanced processing networks - VisaNet - that is capable of handling more than 65,000 transaction messages a second, with fraud protection for consumers and assured payment for merchants. Visa is not a bank and does not issue cards, extend credit or set rates and fees for consumers. Visa's innovations, however, enable its financial institution customers to offer consumers more choices: pay now with debit, pay ahead of time with prepaid or pay later with credit products.

Skills

data science
machine learning
client analytics