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Salary
≈ $30k – $80k per year (Estimated)
Location
In office (Mexico City)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 29, 2026. Zurich Australia scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Zurich Financial Services Australia is a leading provider of life insurance, general insurance, and risk management solutions across Australia and New Zealand. Headquartered in Sydney, Australia, the company operates as the regional subsidiary of the global Zurich Insurance Group, serving millions of individual consumers and commercial clients. By combining decades of local expertise with global capabilities, it delivers customized coverage, claims management, and enterprise risk engineering to ensure long-term financial security.

#zcc

Zurich Capability Center is looking for a:

Data Scientist

As a Data Scientist, your main tasks will involve:

  • Understand business problems and structure analytical approaches to solve them.
  • Generate proof of concepts from data that help deliver improved business results.
  • Prepare and pre-process datasets needed to deliver analytical solutions.
  • Generate distinctive risk insights that deliver improved business results.
  • Build and implement predictive models and other analytical solutions using both structured and unstructured data.
  • Collaborate with Data Engineers, ML/AI Ops, and IT teams to deploy models into production environments and monitor models performance.
  • Support communication of findings, implications, and performance of the models to business stakeholders.

Your Skills and Experience

As a Data Scientist, your skills and experience will ideally include:

  • University education (Bachelor’s degree or higher).
  • Working knowledge of Python and basic data science packages.
  • Passion working with data and developing insights for use in business decisions.
  • Strong problem-solving and analytical skills from the following:
  • Advanced knowledge of statistical and predictive modeling techniques such as machine learning models (GBM, Random Forest etc.), decision trees, probability networks, association rules, clustering, regression, GLMs, SVMs, HMMs, time series, survival analysis, neural networks and their application to business decisions.
  • Use state-of-the-art deep learning approaches (e.g. CNN, transformer, RNN/LSTM/GRU, GCN/GNN) to extract value from massive amounts of unstructured data (text, images).
  • Advanced knowledge of fine-tuning (e.g. PEFT, LoRA, RLHF) and customizing large language models (e.g. GPT, BERT, Flan-T5, Llama, Dolly, BART), embedding approaches (e.g. Word2Vec, t-SNE), prompt engineering, and vectorization.
  • Strong verbal and written communication skills, especially the ability to translate technical results for business audiences.
  • English - B2 or better.
  • 3 years of Experience with Azure and Databricks is an advantage.
  • 3 years of Experience with SQL and other programming languages is an advantage.
  • Prior work experience in insurance is a plus

Who we are

Looking for a challenging and inspiring work environment where you can make a difference?

At Zurich millions of individuals and businesses place their trust in our products and services every day. Our 53,000 employees worldwide form the basis of our success, enabling, businesses and communities to face a world of risk with confidence. Imagine if you could help people do this all over the world. You’d give them confidence and reassurance by protecting what they love most. It’s a big challenge, but you will be supported by a world-class team who believe in helping you to reach your full potential and deliver on our promises. So be challenged. Be inspired. Help us make a difference. At Zurich we are an equal opportunity employer. We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age, or disability.

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