Data Scientist

Data Scientist – Data & Analytics – Sydney, NSWFixed term contract ending December 2026 At Allianz, we’re proud to be named one of the Best Workplaces in Australia 2025 and a Great Place to Work. As a leading global insurance and asset management brand, we prioritise care for our customers, the planet, and each other. We hire the very best people to further our commitment to caring and securing the future for our customers. We offer an inclusive workplace where everyone feels like they belong, while promoting a culture of lifelong learning, development, and global mobility. Join us and share your ideas, be inspired, give back to the community and feel proud to be a part of an organisation doing meaningful work that matters while supporting sustainability, mental health, and well-being. Let’s care for tomorrow, so we can create a better future together, for everyone.  About the role The primary purpose of this role is to lead the way in utilizing Al techniques to enable AAL to deliver better customer outcomes, automate processes and make optimal business decisions which deliver real organisational value. Analysing large datasets of both structured and unstructured data to discover trends and patterns. Developing machine learning algorithms and crafting generative AI prompts. Deploying modelling solutions into operational practices, applying systematic test plans and quality assurance processes to ensure quality and integrity. Creating user and training documentation for deployed solutions. Working in a cross-functional capacity to understand key business problems that need to be addressed and proposing solutions. Mentoring, educating, and inspiring others within the team and across the business around the value of data science methods and best practices. Collaborating with broader Data and Analytics teams to ensure robust, scalable, and sustainable advanced analytics solutions are delivered to solve business problems. About you Proven experience in a Data Scientist role, applying data science methods to solve complex business problems within a commercial setting. Experience or strong interest in creating generative AI prompts and agents Demonstrated expertise in Python and SQL, applying these languages for data engineering, machine learning or generative AI modeling, as well as model monitoring. Experience working with Databricks (preferred) Degree in a highly quantitative field such as Computer Science, Mathematics, or Statistics (or equivalent). Strong problem-solving skills, with the ability to navigate complexity and deliver pragmatic, commercially viable solutions. Excellent communication skills, capable of articulating complex ideas clearly to both technical and non-technical stakeholders. Please note this is a fixed term/secondment opportunity ending December 2026. Benefits and perks Inclusive Culture: Join a supportive, open-minded team focused on customer outcomes, bringing your authentic self to work every day   Flexible Work-Life Balance: Enjoy flexible and remote work options and workplace adjustments, with support for your work/life balance.   Career Development: Access mentoring, development and global mobility opportunities for growth and success, including access to over 10,000 learning resources.  Financial and Well-being Perks: Enjoy discounts on Allianz products, retail, tech, and travel, plus financial wellness initiatives and the Employee Share Purchase Program- own a piece of your employer  For more details about our benefits, visit the Allianz Careers site.  About Allianz Group  Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.   At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.  We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.  Adjustments and support  If you require any support and adjustments to participate equitably in our recruitment process, we encourage you to reach out to for a confidential conversation.  Join us. Let’s care for tomorrow.