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Summer Internship - Data Science

Location Sydney, Australia Job type Full-Time Work mode On-site Job level Internship & Working Student Job ID 14102 Company Munich Re Employment type Temporary Area of expertise Data, BI & Analytics
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As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients.

About the opportunity

Our paid internship program will run from early December 2026 to mid-February 2027, with a break over the holiday period. You will be placed in one team for the duration of the internship, gaining hands-on experience and contributing to meaningful work.

This internship is suited to students interested in data, technology, and business problem solving. As part of a cross-functional team supporting Munich Re's Life and Health business across Asia-Pacific, the Middle East, and Africa, you will contribute to analytics and AI-related initiatives, gain exposure to the insurance industry, and work alongside experienced professionals to support real-world business outcomes

The work you’ll get involved in includes:

  • Support the preparation, organisation, and structuring of reference information used in analytics and AI initiatives.
  • Gain practical knowledge of the Australian life insurance industry through exposure to product information, business processes, and industry practices.
  • Develop Python-based tools and automated workflows to improve operational efficiency, reduce manual effort, and support project delivery.
  • Work as an active member of a cross-functional project team and contributing to project delivery.
  • Collaborate with analytics teams, actuaries, data scientists, and business stakeholders across APAC, Middle East, and Africa to support project requirements.

Your Profile

  • Currently in the final year of a Bachelor's degree (minimum third year) or enrolled in a Master’s program in Data Science, Computer Science, Artificial Intelligence, or a related technical field.
  • Familiar with generative AI tools (e.g., ChatGPT, Gemini, or open-source LLMs) and the basics of prompt engineering.
  • Strong interest or foundational knowledge in OCR, LLMs, and agentic AI frameworks.
  • Experience with Python, along with familiarity in SQL and/or JavaScript; hands-on experience building demos or applications using Streamlit, Gradio, or modern web frameworks such as React or Vue.
  • You will be located in Australia and able to attend our Sydney office for the internship period. Whilst we offer flexible working, we would encourage you to be in person to get the most out of this experience.

How to Apply

Submit your application online including your:

  • Resume (required)
  • Academic transcript (required). Applications submitted without an academic transcript may not be considered.
  • Cover letter (optional)

We see DEI as a business imperative, helping us to attract, grow and inspire a diverse, inclusive, and equitable workforce that better enable us to serve our customers, investors, and communities. Globally, we strive to build balanced teams across all aspects of difference.

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Your Benefits

With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.

Competitive Salary

We provide fair and competitive compensation that reflects your performance and commitment.

Company performance-based Incentives

In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.

Recognition and Special Rewards

We recognise outstanding individual contributions through a variety of targeted rewards and incentives.

Retirement Planning

We support your long-term financial wellbeing with retirement solutions aligned with local regulations.

Inclusive Workplace Culture

We foster a respectful, inclusive, and values-driven environment.

Learning & Development

We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.

Work-Life-Balance

Supporting your ability to balance family, leisure, and your career.

Health & Wellbeing

We support your physical and mental health through a range of programs and activities in each location.

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