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Data Scientist

129596

A new transformational adventure awaits you… 

 

How does 5 weeks of annual leave, a fulfilling career you'll genuinely enjoy, and working for a reputable organization that promotes wellbeing and drives digital transformation sound to you?

 

As one of Forbes 2024 ‘World’s Best Employers’ and Fortune’s ‘World’s Most Admired Companies’ for 2025, Zurich - a leader in the insurance industry, is on a journey towards a brighter future… A brighter future for you - focused on your career, your wellbeing, and your community - as well as our customers and the planet.

 

Join us on this thrilling journey as we work towards our vision of becoming Australia's leading digital insurer. If you're eager to be part of a values-driven global organisation that's experiencing real growth and transformation, and if you share our commitment to making a tangible difference and taking continuous steps towards a sustainable future for our people, customers, communities, and our planet, then keep reading!

 

 

Let’s create a brighter future together, let’s make a difference  

 

It’s important to know, what you do matters. At Zurich, we don’t just cover, we care.

 

Join Zurich as a Data Scientist within our AI Platforms team and be part of an exciting technology transformation journey. As we pursue our ambition to become Australia’s Leading Digital Insurer, you’ll play a key role in developing and implementing advanced AI solutions that drive innovation and deliver real value for our customers. Working in a collaborative and dynamic environment, you’ll support Zurich’s data-driven transformation by applying analytical techniques to solve real-world challenges in the insurance sector.

 

This is a unique opportunity to grow your skills alongside experienced data scientists and cross-functional teams, unlocking insights from data, supporting the deployment of machine learning models, and enhancing operational efficiency. At Zurich, you’ll be empowered to think differently, experiment, and help shape the future of data science as we set the pace for digital excellence in insurance.

 

You will also be responsible for the following:

 

  • Developing and optimising AI solutions using frameworks such as LangGraph, Langchain, and DeepAgent, with support from senior colleagues.
  • Implementing NLP techniques to extract insights from unstructured text data.
  • Applying machine learning methods to build and maintain predictive models.
  • Collaborating with data teams to ensure data quality and availability for analytics and model development.
  • Working with cross-functional teams to understand business needs and deliver data-driven solutions.
  • Assisting in building and deploying Lambda APIs to facilitate data accessibility across the organisation.

 

Important to your success – let’s grow together

 

We’re looking for a curious, collaborative, and growth-minded data scientist with foundational experience, ready to make a tangible impact and help drive Zurich’s digital transformation.

 

In order to be successful, you will have the following:

 

  • A Bachelor’s or higher degree in Data Science, Computer Science, Statistics, Information Technology, or a related field, or equivalent work experience.
  • 3–6 years’ experience in data science or analytics roles, ideally with exposure to machine learning and NLP.
  • Proficiency in Python and experience with AWS tools such as Sagemaker, Textract, Comprehend, and Lambda.
  • Experience building LLM solutions, especially agentic AI solutions, and familiarity with data warehousing platforms like Snowflake.
  • Strong analytical and problem-solving skills, with a proactive approach to professional development and a willingness to learn new tools and methodologies.
  • Excellent communication skills and the ability to work effectively in collaborative, cross-functional teams.

 

Belong. Zurich is here to support you 

 

There are so many reasons why Zurich is a great place to be and the right choice for you, but here are just a few.

 

  • Enjoy 5 weeks of annual leave for permanent staff through our Z leave initiative, along with 15 days of personal/carer’s leave as we empower our people to manage their own wellbeing. Plus, access to Family Care (parental leave).
  • Benefit from a hybrid working arrangement – 3 days in the office and 2 days working from home per week for full-time employees.
  • Access programs to stay healthy and feel healthier, receive an AUD$500 wellbeing payment per year, and a AUD$295 new starter e-voucher for your work-from-home setup (flex work - hybrid working), along with other great benefits through our Shine portal.
  • Grow and thrive in your career with our award-winning training programs. We support and encourage your development because our strength lies in our people, and we value your individuality.
  • Work with global, diverse, and inclusive teams; explore your passions, fuel innovation, drive equity, collaborate, and make a positive difference beyond your role.
  • Take advantage of global mobility opportunities across more than 200 countries worldwide.
  • Volunteer and work in our state-of-the-art Green Star rated offices (when you are in the office) and dress for your day.
  • We plant a tree for every new employee.
  • Not to mention our various employer of choice awards/memberships – WGEA; Family Inclusive Workplace; Gold AWEI Employer, Pride in Diversity… to name a few.

 

We could go on, but the main point is that Zurich is a great place to be, where you can truly belong, be yourself, maintain work/life balance, and thrive in a supportive environment.

 

Zurich is an equal opportunity employer.  We are committed to ensuring that our recruitment process is fair and accessible for all candidates. If you require any special accommodations to participate in our recruitment process, we encourage you to please let us know at the time of your application.  

 

So, if you want to come on an adventure that will build a brighter future together, and feel a sense of togetherness, then please apply today to start your adventure!

Apply now »