Senior Data Scientist

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.

• Identify innovation opportunities around data and data-related processes that will help our clients implement fact-based decisioning processes within their cards and payments program
• Work entails heavy focus on transaction data modelling and analytics for cards and payments products Work with a broader team that consists of Business Managers, Consultants and Data Scientists from both Visa and client organizations to strategies, co-create, deploy, and reap the benefits of data-driven solutions.
• Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa’s growth in the region.
• Focus on creating scalable framework for ML models (MLOps)
• Keep Visa at the forefront of technological advancement in Data Science by introducing cutting‑edge tools and techniques for generating business insights
• Develop next‑generation analytic methods where existing tools and techniques are inadequate to address business challenges
• Drive commercialization of existing scalable assets (models, dashboards, solutions).
• Collaborate with internal Technology partners and Data Engineering function to best leverage Visa’s internal technology platforms, data, and the broader Visa ecosystem to support our clients’ technical data needs
• Develop, share, and build global best practices and knowledge management within the team
• Socialize innovative ideas and approaches that are scalable and have market demand
• Champion internal requirements around Model Risk Management, Visa Analytics Rules, and Global Privacy standards around client delivery to ensure that Visa’s highly regarded market standing is maintained
• Work closely with Data Engineering, DS teams and vendors - communicate the business stakeholders needs and ensure the development team delivers within established acceptance criteria, including expected quality and performance.
• Drive strong collaboration with VCA CEMEA Service Line Leads (Portfolio Management, Digital, Risk, Merchant & Acquiring, Commercial) – understanding the market landscape and demand, identification of potential opportunities for scalable solutions, collecting business requirements and supporting in market enablement and Go‑to‑Market.
• Work with Global Practice Leads to incorporate best practice, source analytical or other services and leverage global consulting solutions.
• Deliver and manage a network of external Vendor or agency partners.
• Maintain excellent relationship with vendor team at‑large, supervising deliveries as needed.
• Assist in selecting, recruiting, inducting and onboarding of vendors
• Work with other teams and external consultants to develop new and improved tools and techniques for future Consulting activities.
• Manage the project budget and resources to perform all required duties.
• Liaise with VISA functional teams - Finance, Audit, Legal, Tax, Sourcing- to define and implement processes to optimize the daily engagement of vendors and the relationships with clients.

Qualifications:

Minimum of 5+ years of expertise in applying Machine Learning solutions to business problems – model development and production experience required. Post‑graduate degree (Masters or PhD) in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering. Experience working in one or more of the Card & Payments markets around the globe with specific responsibilities in payments, retail banking, or retail merchant industries.

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