Graduate - Data Science, Visa Consulting &

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement.

**Join Visa: A Network Working for Everyone.**

**Job Description**:
**Team Summary**

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.

The AuNZSP Visa Consulting & Analytics Graduate Program (VCAGP) is a 12-month program with two six-month rotations through various parts of Visa Consulting & Analytics, including Core Consulting and Managed Services. The VCA 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 given training & development, mentoring, networking, and leadership exposure throughout the 12-month program.

**What a Graduate - Data Science does at Visa**:
**Rotation 1: Automation & innovation**

**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

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. refining the Effective Area of Influence algorithm to predict spend ‘centre of gravity’ for cardholders)
- Developing new & innovative capabilities using VisaNet data to service client needs in the AP market (e.g. geospatial analytics / time series forecasting / statistical modelling for cardholder profiling etc.)

**Rotation 2: Data Science Consulting**

The second rotation will see the graduate working alongside members of the consulting team to deliver projects for clients from a diversity of backgrounds (issuers, acquirers, merchants, and governments).

**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

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
- Formulating a list of geographies that a merchant should prioritise for store expansion based upon target customer penetration
- Profiling economic insights for government clients and pin-pointing areas requi