Manager, Data Science at Visa

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Python, SQL, Spark, Hive, Tableau, Power BI, Machine Learning, Big Data, Data Analysis, Client Management, Agile, Apache Airflow, Cloud Platforms, Data Engineering, Storytelling

Industry

IT Services and IT Consulting

Description

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description The position will be based in Visa’s Sydney office. We seek a data scientist with experience in data preparation, data analysis, story – telling and communicating insights to internal and external stakeholders . You will be working with VISA’s big data sets and in certain cases in conjunction with our clients’ data. The candidate should possess hands on experience with associated technologies and ability to collaborate across teams and functions to deliver value to VISA and our clients. The successful candidate will have opportunities to work on huge varieties of problems across Issuers business. We need a dedicated, technical, proactive, and energetic who accepts challenges and is a confirmed problem solver. What is 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. Responsibilities: Work within the project team to support the design, development, and delivery of data science/engineering solutions to VISA clients, adhering to scope and timelines Building and maintaining positive relationships with clients. Providing mentorship to junior team members Partner with roles across the organization including consultants, engineering, and data scientists to address prioritized business problems Build data driven solutions/data science models aligned with client's priorities and leading different vendors for the execution if required Break large solutions into smaller, releasable phases and seek feedback from product owners, clients, and other partners Define detailed scope and methodology, design and create solutions, and implement using appropriate tools and techniques Support development of a robust system for measuring and optimizing the quality of deployed algorithms and models Maintain AI models in production to evaluate performance, model drift, and decay Actively seek out opportunities to innovate by using Visa Net, external data and new modelling techniques fit for purpose to the needs of our clients Make sure that the legal/compliance/security related requirements are fully adhered to This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Qualification in Data Science/Computer Science Experience being data scientist/engineer or analytics consultant Hands-on experience in developing AI models, scaling data solutions, and delivering end-to-end data science projects Experience working with large and multi-dimensional datasets Proficient in implementing standard classification and clustering algorithms Proficient in big data aggregation using Hive, Spark, SQL and Python Experience with visualization tools, such as Power BI, Tableau, or similar. Outstanding problem-solving skills Strong internal team and external client management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization Exhibit intellectual curiosity and strive to continually learn, self-motivated and results oriented individual with the ability to handle numerous projects Ability to learn new tools and paradigms as data science continues to evolve at Visa and elsewhere Demonstrated resource planning and delivery skills Good communication and presentation skills with ability to interact with different cross-functional team members at varying leve Understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant will be a plus Consultancy experience is a plus Technical Expertise Experience in writing and optimizing efficient SQL queries, Hive, Python and Spark Expertise in dashboard and report development using Tableau or Power BI Good understanding of Agile way of working Experience in deployment, operationalization of Machine Learning models Experience with Apache Airflow would be an advantage Experience of cloud-based data science platforms would be beneficial Business and Leadership competencies Quality-focused professional with strong problem-solving abilities and a proven track record in tackling sophisticated analytical challenges Detail oriented to ensure the highest level of quality in reports and data analysis Proficient in translating analytics output to actionable recommendations and delivery Skilled at presenting data-driven insights to audiences with varying levels of technical understanding Exhibits intellectual curiosity and a desire for continuous learning Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. If you thrive on rapid growth and enjoy working alongside positive, driven teammates, you’ll feel right at home here. Help us to uplift everyone, everywhere. Whether you’re starting your career, pushing your capabilities or are a seasoned professional, learn how we can partner to reimagine the world. Introduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match. At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Our evolving technology keeps us at the heart of the digital economy, connecting people to 80+ million businesses worldwide. Backed by a resilient, proven model, our expanding network fuels growth—for Visa and for your career. Your journey starts here — discover how we hire Ready to take the next step? Learn more about life at Visa, explore our hiring process and get first-hand insights by hearing directly from our recruiters about what to expect. Apply with confidence today! Learn our recruiting process

Responsibilities

Design and deliver data science and engineering solutions for Visa clients while managing stakeholder relationships. Responsibilities include building AI models, maintaining production systems, and mentoring junior team members.