Data Scientist

Allianz Australia; Sydney; Hybrid; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid work

Product discounts

Learning resources

Employee share program

Job summary

Allianz Australia in Sydney seeks a Data Scientist to lead AI initiatives that improve customer outcomes, automate processes and drive business value. You will collaborate with stakeholders to select the best AI approaches, develop end‑to‑end solutions, and deploy models with ongoing monitoring and governance.

The role emphasizes practical, measurable impact, strong Python/SQL skills, and experience with Azure AI Foundry or Databricks. Hybrid work with development opportunities.

Qualifications

• Experience applying data science and AI in commercial settings.
• Ability to translate business problems into AI solutions.
• Strong communication to technical and non‑technical audiences.

Responsibilities

• Lead AI initiatives to enable better customer outcomes.
• Automate processes and help make optimal business decisions.
• Design end-to-end AI solutions from data exploration to modelling.
• Put models into production with testing and monitoring.
• Assess AI risk and document controls and guardrails.
• Track business value post‑launch and iterate.

Skills

Data science

AI in business

Python

SQL

Stakeholder collaboration

Problem solving

Education

Bachelor's/Master's in CS/Math/Stats

Tools

Azure AI Foundry

Databricks

Job description

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.

• 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.
• Apply human judgement to determine the best AI solution (rules, statistical model, LLMs or agentic) that best balances accuracy, explainability, cost and risk, not just the newest one.
• 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.
• Understanding AI risk and 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.
• Turning model results into clear recommendations that executives can act on.
• Coach and educate others in the team and across the business on data science methods, good practice and the value of AI.
• Collaborating across teams to ensure solutions are robust, scalable, and sustainable.

About You

• Proven experience as a Data Scientist, solving complex business problems with data science and AI in a commercial setting.
• You're passionate about using AI to change how a business works, not just building models. You want your work to make a measurable difference to customers and to the organisation.
• 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.
• Experience working with Databricks (preferred)
• Degree in a highly quantitative field such as Computer Science, Mathematics, or Statistics (or equivalent).
• You're a strong problem‑solver who handles ambiguity well and delivers practical solutions that make commercial sense.
• You can explain complex ideas clearly to technical and non‑technical audiences, and bring stakeholders along on the change.

Benefits And Perks

• 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.
• 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 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 [e-mail] for a confidential conversation.