Sydney, New South Wales, Australia
Actively hiring, first seen by us 3 days agoEmployment type in the employer’s posting: TemporaryFrom the employer’s posting
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.
Work with business stakeholders to understand the problem behind each request, define what success looks like and decide whether AI is the right answer at all.
Work with business stakeholders to define problems and decide whether AI is the right answer
Design and develop AI solutions end-to-end, including modelling, prompt design and agent orchestration
Put models into production with testing, quality assurance and ongoing monitoring
Document AI solutions with controls and guardrails to manage risk
Track business value after launch and improve or retire models based on results
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.
Work with business stakeholders to understand the problem behind each request, define what success looks like and decide whether AI is the right answer at all.
Design and develop AI solutions end-to-end, from data exploration and feature engineering through to modelling, prompt design and agent orchestration.
Put models into production using systematic testing, quality assurance and ongoing monitoring for performance, drift and integrity.
developing and documenting solutions with the right controls and guardrails in place to manage risk.
Track the business value of each solution after launch, and keep improving or retire models based on real-world results.
Proven experience as a Data Scientist, solving complex business problems with data science and AI in a commercial setting.
Hands-on experience with Generative AI, LLMs and agentic frameworks, including prompt design, building agents and evaluating their outputs.
Strong Python and SQL, used across data engineering, machine learning, generative AI and model monitoring.
Degree in a highly quantitative field such as Computer Science, Mathematics, or Statistics (or equivalent).
Experience with Microsoft ecosystem including Azure AI Foundry and related AI services would be preferred.
Experience working with Databricks (preferred)
From the employer’s posting.
Allianz Group is one of the most trusted insurance and asset management companies in the world.
In the employer’s words · Read in context
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 3
Early. Similar jobs usually come down between day 8 and day 60.
At Allianz Insurance, jobs usually come down by about day 3.
From 11,783 similar postings that came down, and 421 of Allianz Insurance’s. Coming down is not always a hire.
65 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Hands-on experience with Generative AI, LLMs and agentic frameworks, including prompt design, building agents and evaluating their outputs. - Strong Python and SQL, used across data engineering, machine learning, generative AI and model monitoring. - Experience with Microsoft ecosystem including Azure AI Foundry and related AI services would be preferred.
- Strong Python and SQL, used across data engineering, machine learning, generative AI and model monitoring. - Experience with Microsoft ecosystem including Azure AI Foundry and related AI services would be preferred. - Experience working with Databricks (preferred)
- Experience with Microsoft ecosystem including Azure AI Foundry and related AI services would be preferred. - Experience working with Databricks (preferred) - Degree in a highly quantitative field such as Computer Science, Mathematics, or Statistics (or equivalent).
Complete your application on career5.successfactors.eu. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Data Scientist job there since June 2026. It came down after 1 day.
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
DATA SCIENTIST | Data & Analytics | SYDNEY
At Allianz, we’re proud to be named one of the Best Workplaces in Australia 2026 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.
About you
Benefits and perks
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 matters, 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 careers@allianz.com.au for a confidential conversation.
Join us. Let’s care for tomorrow. www.allianz.com.au/careers
Important Notice:
Allianz will never contact you from an email address that does not end with ‘@allianz.com.au’ or another official Allianz domain. If you receive an email from an address like ’allianz.customerservice@gmail.com’” or ’allianz-support@yahoo.com’, it is not from Allianz and may likely be a scam.
Examples of official Allianz email addresses 🡪 john.smith@allianz.com.au | support@allianz.co.uk | jane.smith@allianz.com
If you are unsure about an email, please contact Allianz directly through our official website or customer service number. Your security is our priority.
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Sydney, New South Wales, Australia
- Inclusive Culture: Join a supportive, open-minded team focused on customer outcomes, bringing your authentic self to work every day! - Work-life balance: Enjoy our flexible, hybrid work arrangements, and tailored workplace adjustments, where possible. - Career Development: Access mentoring, development and global mobility opportunities for growth and success, including access to over 10,000 learning resources.
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