Lead Data Scientist (12 Month Contract) at Chubb

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

30 Aug, 26

Salary

0.0

Posted On

01 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Statistical Modeling, GLMs, Gradient Boosting, NLP, Databricks, Snowflake, MLOps, Agile, Data Pipelines, Predictive Analytics, Text Analytics, Deep Learning, Pandas, Scikit-learn

Industry

Insurance

Description

Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com. Chubb celebrates diversity by fostering an inclusive, flexible and equitable workplace. We support applications from all members of our community and equitable access to our employment opportunities. We are open to discussing workplace flexibility in all our vacancies, to ensure we can attract the best candidates and accommodate individual needs, differences, disabilities and working arrangements. Please let us know if you require any adjustments to the recruitment process so we can support you to present your best self. We’re looking for a Lead Data Scientist to join our Digital team and help deliver predictive analytics solutions that support pricing, underwriting, claims, and broader digital transformation initiatives. In this role, you will: * Lead advanced analytics initiatives that support insurance portfolio management and commercial performance. * Apply statistical and machine learning techniques to generate insights that improve decision-making. * Work across structured, unstructured, and externally sourced data to identify opportunities and enrich analytical outcomes. * Extract, prepare, and analyse data using Python and other data management tools. * Develop predictive models and analytical solutions using techniques such as GLMs, gradient boosting, tree-based models, and other machine learning methods. * Partner with business teams to understand needs, scope analytical work, prioritise initiatives, and shape the analytics roadmap. * Collaborate with the Global Analytics team on model build and refinement, providing technical feedback and ensuring solutions meet business and quality standards. * Drive end-to-end delivery from problem framing and exploration through to model development, validation, deployment, and adoption. * Present analytical findings, model performance, and portfolio insights to business stakeholders, actuarial teams, and other key partners in clear, decision-ready language. * Maintain comprehensive documentation across the solution lifecycle, including business requirements, solution design, model logic, and validation outcomes.

Responsibilities

Lead advanced analytics initiatives to deliver predictive solutions for pricing, underwriting, and claims. Drive the end-to-end delivery of models from problem framing and development to deployment and stakeholder presentation.