As the world’s leader in digital payments technology, Visa’s mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company’s relentless focus on innovation is a catalyst for the rapid growth of digital commerce on any device for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You’re an Individual. We’re the team for you. Together, let’s transform the way the world pays.

What’s it all about?

Data Science Managers are a key member of the Data Science Lab in the Europe region. As a Data Science Manager, you will be accountable for leading the blueprint, development and delivery of analytics driven capabilities and solutions for Visa’s internal and external clients. In this role, you will work collaboratively with a multitude of internal functions and their senior leaders to promote an evidence and insights-driven strategy that improves our client’s (card-issuing banks) card activation and usage performance with Visa. You will be developing creative and cutting-edge data science solutions and best practices to drive business performance with a clear commercial value.

What we expect of you, day to day:

- Drives automation of data analysis tools to enable scaling of Visa Consulting & Analytics (VCA) services such as activation and usage performance benchmarking

- Works with VCA consultants in market to drive data science business development opportunities across key accounts to meet VCA revenue targets

- Identifies how data science and predictive techniques can be used to enhance client profitability, card and payments portfolio management across acquisition, activation, usage and retention

- Works with VCA consultants on conducting VisaNet data analysis on key metrics in order to articulate key issuer P&L opportunities to drive revenue growth for our clients and Visa

- Execution proficiency in handling multiple medium to large data science projects along with rest of the stakeholders in the project team

 What we’re after…

- Extensive experience with common data science, data analysis and statistical methods 

- Graduate/Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience

- Hands-on experience with modern distributed systems including Hadoop/SQL and Apache Spark

- Hands-on experience with one or more data analytics/programming languages such as R/Python

- Experience in the application of predictive modelling and machine learning technique to solve business problems

- Ability to communicate with a senior business audience and experience of having worked in a consulting-like environment and client-facing project roles 

Preferred Experience:

- Experience working in payments industry (bank, credit reference agencies, Fintech) or management-consulting firm.

- Hands on experience on processing extremely large data sets (knowledge of payment network transactional data is a plus)

- Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels

All your information will be kept confidential according to EEO guidelines.

·        Reports to the Senior Data Science Manager

·        Warsaw, Poland based

Think you have what it takes?

If you are interested in a career that will challenge and inspire you – we’d love to hear from you!

Diversity & Inclusion

Universal acceptance for everyone, everywhere, is not only our brand promise, it’s the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back.

By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients.