The Visa Graduate Program supports Visa’s mission to build a strong Associate level pipeline of talent with cross-functional knowledge and experience. In addition to meaningful rotations, Associates are provided training & development, mentoring, networking, and leadership exposure throughout the 12-month program. Leveraging on Visa's global connectivity, our Associates will also have the opportunity to broaden their perspectives and insights through engaging with global stakeholders, both internally within the organisation and externally with partners. With over 85 offices worldwide, Associates can look forward to building a long term, global career at Visa.
The Visa Graduate Program - Data Science is a 12-month program with two six-month rotations through our two key data science teams in Visa Consulting & Analytics: Data Science Issuer Advisory and Data Services. Please note that this program is open to candidates based in Sydney only.
Visa Consulting & Analytics
Visa Consulting & Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers, and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results.
Rotation 1: Data Science Issuer Advisory
In the first rotation, the graduate will work alongside members of the issuer advisory consulting team to deliver projects for a diverse client set (primarily issuers & FinTechs in the Australian market).
Projects may include:
- Designing the features of a new debit / credit card for an issuer that would be most appealing to their target customers and align with their strategic objectives
- Conducting a customer segmentation for an issuer client to partition their customers into groups based upon common attributes to enhance loyalty through customised marketing campaigns
- Leveraging predictive modelling to provide issuers with cardholder scores to inform targeted communications (e.g. dormancy scores, travel propensity scores, E-commerce engagement scores)
Responsibilities:
- Complete detailed analysis on client data and identify preliminary trends and themes in the data
- Assist the consulting team in developing & testing hypotheses regarding key issues highlighted by clients
- Summarise insights derived from data analysis into reports / PowerPoint packs that can be easily interpretable by clients
- Present results from data science analyses to a diversity of internal / external stakeholders (with varying degrees of seniority & technical aptitude)
- Liaise with colleagues from other business functions (e.g. product, marketing etc.) to deliver exceptional client outcomes
Rotation 2: Data Services
In the second rotation, the graduate will work in the Data Services team and assist with pipeline automation, taking ownership of existing products, and contribute to solution development to expand data science capabilities in the Asia-Pacific region. The graduate will gain experience with a variety of coding languages (Python, SQL, R), data visualisation tools (Tableau), and big data infrastructure (Hadoop, Spark, Apache Airflow).
Projects may include:
- Delivering existing subscription-based projects by processing ETL pipelines, conducting quality assurance checks, and distributing to clients
- Designing end-to-end data pipelines to translate transaction data into summary insights that can be actioned by clients
- Implementing modifications to existing technical innovations / patented solutions at Visa to enhance accuracy / improve process efficiency (e.g. enhancing a Visa-patented algorithm to predict spend ‘centre of gravity’ for cardholders)
- Developing new & innovative capabilities using Visa Network data to service client needs in the AP market (e.g. geospatial analytics, time series forecasting, statistical modelling for cardholder profiling etc.)
Responsibilities:
- Contribute to solution development under the supervision of data science leads in the AuNZSP team
- Propose new ideas and challenge existing assumptions to provide thought diversity and pioneer innovation
- Conduct quality assurance checks on data output before client distribution
- Summarise insights from transaction data using a suitable coding language (SQL / Python / R)
- Understand existing methodologies and identify areas for improvement to enhance (a) code hygiene, (b) accuracy of results, and (c) program efficiency
- Package existing data pipelines into automated workflows using Apache Airflow
- Implement best-practice collaboration conventions by sharing code through BitBucket / GitHub
- Construct documentation manuals for data science methodologies to simplify future handover & onboarding processes
- Collaborate effectively within an agile team environment, working closely with cross-functional team members to understand project requirements and deliver high-quality solutions
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
