Senior Data Scientist

4 weeks ago


North Sydney Council, Australia Zurich Australia Full time

Join to apply for the Senior Data Scientist role at Zurich Australia

1 day ago Be among the first 25 applicants

Join to apply for the Senior Data Scientist role at Zurich Australia

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.

As a Senior Data Scientist within Zurich Life's Data & Analytics team, you will play a pivotal role in shaping the future of AI-driven innovation across the business. Embedded in the AI Platforms team, you'll be responsible for designing and delivering scalable, intelligent solutions that enhance operational efficiency and customer outcomes. This role offers the opportunity to work at the forefront of data science, applying advanced techniques in machine learning, NLP, and cloud-native technologies to solve complex business challenges.

You'll collaborate closely with cross-functional teams and stakeholders to develop and deploy AI capabilities that integrate seamlessly into Zurich's core data platforms. Your work will contribute directly to the strategic direction of our data and analytics initiatives, helping to build a resilient, insight-driven organisation.

You will also be responsible for the following:

  • Build and optimize scalable Generative AI and machine learning solutions to automate workflows and deliver business value.
  • Collaborate with cross-functional teams—including architects, engineers, and business stakeholders—to translate business requirements into practical, data-driven solutions.
  • Apply advanced language modeling, NLP, and data extraction techniques to analyze unstructured data and generate actionable insights.
  • Ensure all developed solutions meet high standards of scalability, reusability, and performance, proactively seeking opportunities for improvement and innovation.
  • Uphold ethical data practices and ensure strict adherence to data privacy and governance requirements.

Important to your success – let's grow together

We're looking for a strategic thought leader who can also be hands on when needed, with strong background in enterprise architecture and insurance transformation.

In order to be successful, you will have the following:
  • 8–10 years of experience in data science, AI, or related fields, ideally within financial services or insurance.
  • Strong proficiency in Python, with hands-on experience in model development, data manipulation, and API creation.
  • Proven expertise in AWS tools including Sagemaker, Textract, Comprehend, and Lambda.
  • Solid background in NLP and machine learning, with experience in language modeling and predictive analytics.
  • Proven expertise in building GenAI solutions, especially Agentic AI solutions.
  • Familiarity with Snowflake and cloud-based data warehousing is advantageous.

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 adventureSeniority level
  • Seniority levelEntry level
Employment type
  • Employment typeFull-time
Job function
  • Job functionInformation Technology
  • IndustriesInsurance and Financial Services

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