Are you passionate about data engineering, software development, and security? Join our dynamic Data Platform team as a Software Engineer! You’ll build and optimize data platforms, enhance developer tooling, and strengthen security measures.

What You’ll Do:

As a Software Engineer in the Data Platform team, you'll focus on building and optimizing data platforms, improving developer tooling, and enhancing our security measures. This role requires a broad skill set to navigate complex projects, employing problem-solving skills, data-driven decision-making, and a commitment to quality in a dynamic, deadline-driven environment.

Key Responsibilities:

• Develop high-quality software and platform solutions using a variety of programming languages and technologies.
• Contribute to the design, development, testing, and deployment phases of projects.
• Stay current with emerging technologies and industry best practices.
• Develop and optimize Kafka tooling for improved developer experiences.
• Implement and maintain security measures across our data platform and infrastructure.
• Collaborate with engineering, analytics, and data science teams to support data-driven decision-making.

• Bring your passion and feel the energy 
• This is just the start, so dream big 
• Hybrid/ Flexible working

We are looking for an enthusiastic and proactive Senior Data Scientist to join our dynamic team. The ideal candidate is an inquisitive self-starter with a strong passion for diving into data, uncovering insights, and promoting data-driven decision making. You should be eager to tackle challenges, think outside the box, and bring creative solutions to the table.

As a member of the Data Science Chapter, you will work within our agile squads to drive impactful projects and initiatives. Our Agile delivery model promotes a fast-paced, collaborative environment that values continuous learning and innovation. You will have the chance to shape the future of our data initiatives, leveraging the latest technologies and methodologies to push our capabilities to the next level

Sound good? Read on.

Here is a taster of what you can expect in this role:

• Craft and execute data-driven solutions to optimise retail promotions, leveraging advanced analytical methods to maximise efficiency and outcomes for stakeholders.

• Analysing, interpreting, and connecting complex data sets to identify trends, patterns, and actionable insights.

• Developing data models, algorithms, and statistical methods to solve a variety of business challenges.

• Collaborating with cross-functional teams, including Machine Learning Engineering, Data Engineering, and Data Platform groups, to understand business requirements, deliver data-driven solutions, and enhance data capabilities.

• Designing and conducting experiments to test hypotheses, validate findings, and ensure rigorous data science execution, covering scoping, building, testing, implementation, maintenance, tracking, and optimisation of predictive models.

• Communicating findings and insights effectively to both technical and non-technical stakeholders, ensuring data-driven decisions are well-understood.

• Continuously seeking opportunities to improve processes, tools, and methodologies that make our environment or solutions more efficient.

• Ensuring the organisation meets regulatory requirements in relation to privacy, data security, and the responsible use of data.

Attributes We Value:

• Curiosity: You possess a natural curiosity and enjoy diving into new ideas and concepts.

• Self-Motivation: You are highly driven and can work independently with minimal supervision, with the ability to hit deadlines.

• Proactivity: You proactively identify opportunities and take action to drive improvements or assist other members of the team.

• Hands-on Approach: You are comfortable working directly with data and relish the process of discovery.

• Problem-Solving Skills: You excel at solving complex problems and think creatively to find innovative solutions.

• Communication: You have a knack for transforming complex data into compelling narratives. 

• Mentorship: Guide other team members, fostering skill development and encouraging a collaborative learning environment.

The Visa Internship Program is an exciting opportunity to propel your career from the center of payments innovation in Asia Pacific. Throughout your 12 weeks at Visa, you will be empowered to take on impactful work and lead courageously to shape the future of commerce. Gain executive exposure, engage in out-of-the-box problem solving, and participate in social and community service activities. We are looking for people who can innovate, collaborate, and drive Visa into the next era of an already rapidly evolving digital marketplace.

What else can you expect from the internship?

• Own your career and personal growth! Sign up for projects, workshops, training courses and be at the forefront of emerging technologies by getting hands-on experience in AI, consulting, data visualization, and more!
• We are more than a workplace! Join our intern socials and networking events, soak in the Life at Visa.

At Visa, we believe in the power of small steps to get you closer to where you want to go. Take your first step with Visa to powering payments and uplifting people.

The Data Science team is a key part of the decision management engine at Visa. This is a high-performing team of data scientists, data analysts, statisticians, and business analysts from a variety of countries – serving major Financial Institutions and merchants in Asia Pacific. The team works with large data sets using quantitative techniques and builds complex statistical models that learn from big data, working across multiple teams and functions to develop cutting edge, creative and advanced analytic solutions and processes.  

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 three days a week based on business needs.

This role involves the management, collection and quality control of all forms of data and data structures that make up the Australian Defence Force’s (ADF) Vital Planning and Analysis (VIPA) suite of logistics planning tools. The management of data and information in all its forms and the analysis of information structures (including logical analysis of taxonomies, data and metadata) is paramount to being successful in this role. The role requires extensive stakeholder engagement and management across the Defence enterprise.

Duties include:

• Analyse current data holdings and reference documents using guidelines to identify deficiencies in content and quality
• Prioritise tasks according to information requirements and user direction, and de-conflict activities with other staff
• Plan data management activities, incorporating information needs and priorities, client schedules and travel requirements
• Maintain a work schedule and forecast activities
• Identify authoritative sources for Defence data that meet content and quality standards
• Establish and maintain relationships with ADF stakeholders
• Liaise with ADF stakeholders to identify, collect and validate data
• Advise ADF stakeholders about data quality standards
• Upload data to databases using systems and processes that optimise quality
• Validate data with subject matter expert support
• Create and maintain accurate records in Objective
• Prepare reports for executive and project teams
• Deliver pre-packaged one-on-one training to stakeholders

Candidates must be Australian Citizens and hold a current NV-1 or greater AGSVA security clearance.