Data Science Graduate

at  visa

THINK YOU KNOW US?

Our mission is to connect the world through the most innovative, reliable and secure digital payment network that enables individuals, businesses and economies to thrive.
Individuality fuels our brand and our global team — we’re proud to be a talented team of 15,000 individuals with unique backgrounds, perspectives and 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 and encourages meaningful work/life balance for everyone. In addition, we offer market-leading compensation and 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

• Evangelizes the creative use of data science to solve business problems with external clients
• Works with VCA consultants in market to drive data science business development opportunities across key accounts to meet VCA revenue targets
• Applies data science and predictive techniques that can be used to enhance client profitability across acquisition 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
• Create and deliver powerful business-centric insights from data through better visualization and storyboarding
• Collaborating with the internal and external partners to fully understand business requirements and desired business outcomes
• Execution proficiency in handling multiple medium to large data science projects along with rest of the stakeholders in the project team
• Defining detailed analytic scope and methodology, and creating analytic plans
• Executing on the analytic plans with appropriate data mining and statistical techniques
• Ensuring project delivery within timelines and budget requirements
• Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
• Enhancing existing solutions and approaches by promoting new methodology and best practices in data science field
• Providing subject matter expertise and quality assurance of complex data science projects
• Automating processes/codes
• Familiarising yourself with new tools/software/techniques
  Qualifications