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Visa // credit cards
 
Engineering, Full Time       Posted: Saturday, February 08, 2020
 
   
 
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JOB DETAILS
 

Company Description

Fascinated by the future & captivated by technology?

Smart, driven & want to make a difference in the world?

You'll fit right in.

Join a diverse team at Visa, where your individuality fits right in. We can provide the opportunity to shape the payments experience globally. Together, let's transform the way the world pays.

Think you know us?

Our mission is to connect the world through the most innovative, reliable & secure digital payment network that enables individuals, businesses & economies to thrive.

Individuality fuels our brand & our global team - we're proud to be a talented team of 15,000 individuals with unique backgrounds, perspectives & experiences. We understand that you are much more than your day job. We encourage quality of life outside of the office: whether it's taking advantage of agile working schedules or our wellness programmes, Visa respects & encourages meaningful work/life balance for everyone. In addition, we offer market-leading compensation & have a fantastic benefits offering.

So, if you're not satisfied with the status quo, we can satisfy your desire to explore new territory, giving you the runway to really make an impact, whilst connecting you with teams around the world in a truly inclusive culture that celebrates our uniqueness.

Job Description

What's it all about?

Are your investigative skills worthy of CSI? Do your data visualisations make Tufte envious? Do you speak fluent SQL? Do you dream in code? If so, we want to hear from you - together, let's make Visa a great place to work.

We are seeking a passionate & ambitious Data Scientist to partner with Visa Consulting & Analytics & co-develop data-driven solutions to help Visa's clients grow their businesses.

What we expect of you, day to day

  • Be a strategic partner to Visa Consulting & Analytics in the delivery of Data Science projects from ideation to client implementation
  • Translate loosely defined problems into actionable recommendations, leading to value realisation
  • Develop a deep understanding of Visa's data assets & how they can be used to enhance client profitability across acquisition, usage & retention
  • Identify trends in our client work to inform Visa's data product development path

Qualifications

Required qualifications

You must have:

  • Mid-levelexperience solving problems with real-world data
  • Strong statistical knowledge & proven expertise in applying statistical solutions to business problems
  • Understanding of the steps required in cleaning & transforming datasets
  • Solid relational modelling (SQL) & programming skills (preferably in Python, R or Scala)

Preferred qualifications

You might have:

  • A degree in Computer Science, Statistics, Mathematics or other quantitative discipline
  • Experience in payments or banking
  • Commercial experience with:
    • Big Data systems such as Hadoop & Spark
    • End-to-end implementation of ML systems
    • Software Engineering best practices such as VCS & CI/CD

Additional Information

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 & background, fight for important initiatives like Equal Pay & actively work to eliminate unconscious biases that hold us all back.

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

 
 
 
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