Senior Machine Learning Engineer/Data Scientist

Job title: Senior Machine Learning Engineer/Data Scientist

Company: ANZ


Job description: About UsAt ANZ, we’re applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.About the RoleAs a Machine Learning Engineer/Data Scientist at ANZ, you are accountable for building advanced models to understand and solve complex data problems through advanced modelling. Working with Data Engineers and Data Analysts you will determine the relevant internal and external data sources to enable developing predictive and descriptive models. You will work hard to apply your analytical skills to a broad range of data points to develop customer centric solutions. You will be communicating insights and models through impactful data visualisation and storytelling. With data and analytics at the heart of everything you do, you uncover insights and enable data driven decision making.Role Type: Permanent
Role Location: Melbourne
Work Hours: Full timeWhat will your day look like?

• Design, train and implement Machine learning models using Python and libraries like scikit-learn, tensorflow, pytorch to optimize business processes and automate decision-making.
• Deploy and scale machine learning solutions leveraging MLOps practices and CICD pipelines
• Monitor model performance and implement corrective action to address any degradation or issues
• Build and Automate data pipelines using Airflow, Docker and Kubernetes pods
• Address and solve complex business issues using large amounts of data
• Develop tools and methods to scientifically profile customers and customer segments, products and channels and associated costs, revenues, risks and opportunities
• Source data from a variety of sources to combine, synthesise and analyse to support campaigns, pricing, propositions and other decisions
• Initiate, design and implement innovative capabilities in the field of data science
• Lead, optimise, design and execute business interventions (customers and operational) to uplift customer engagement and business performance

What will you bring?

• Proficient in programming with Python (Including data science libraries such as scikit-learn, Tensorflow and PyTorch)
• Expertise in data query languages such as SQL (Trino, Teradata and ANSI SQL flavours)
• Strong expertise in predictive modelling, pattern recognition, clustering, supervised and unsupervised learning techniques
• Extensive experience in building and deploying end to end pipelines for training, deployment and monitoring using Airflow, with integrated data quality checks to ensure reliability and performance
• Experience with containerization using Docker, Kubernetes for orchestration and scaling ML models, and MLFlow for model tracking and versioning
• Experience using Evidently or similar packages to monitor model performance in production.
• Good understanding of generative AI, NLP domain and RAG architecture. Exposures to langchain, huggingface
• Strong ability to translate data insights into practical business recommendations

So why join us? (AU)From the moment you join ANZ, you’ll be doing meaningful work that will shape a world where people and communities thrive.But it’s not just our customers who’ll feel your impact. You’ll feel it too. Because at ANZ, you’ll have the resources, opportunities, and support you need to take the next big step in your career.We’re a diverse bunch at ANZ in different roles, different locations, doing different things. That’s why we have a range of flexible working arrangements, so our people can ‘make work, work for them’. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.At ANZ, you’ll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That’s because we’re committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you’re a candidate with a disability or access requirement, and have an enquiry about the support provided, please let us know on your application or visit for alternate contact methods.To find out more about working at ANZ, visit . You can apply for this role by visiting ANZ Careers and searching for reference number 84996 .Please refer to this to read about recruitment and mobility principles between Suncorp Bank and ANZ.Job Posting End Date24/01/2025 , 11.59pm, (Melbourne Australia)

Expected salary:

Location: Melbourne, VIC

Job date: Mon, 13 Jan 2025 23:45:50 GMT

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