Scentre Group is hiring a Data Scientist to join our Data & Insights team. This role is for a curious professional who wants to translate big questions into impactful insights, turning complex data into models and stories that guide smarter decisions across the business. Your work will directly contribute to shaping better outcomes for our customers and community.
What You'll Do
- Explore large, curated datasets to uncover trends, patterns, and anomalies.
- Design and build models using statistical and machine learning techniques.
- Conduct hypothesis testing, optimisations, and deep dives to support decision-making across teams.
- Collaborate with cross-functional teams including Product, Marketing, and Operations.
- Communicate insights clearly to both technical and non-technical stakeholders.
- Work within cloud environments using Python and/or R, SQL, and industry-standard libraries and visualisation tools.
What We're Looking For
- A strong foundation in statistics, machine learning, and coding.
- Ability to translate business problems into analytical frameworks with measurable outcomes.
- Understanding of how data drives business performance and customer outcomes.
- Ability to work effectively across disciplines, aligning data solutions with broader team goals.
- Comfort with experimenting with new tools, methods, and ways of thinking to solve problems.
Technical Stack
- Languages & Tools: Python, R, SQL
- Cloud Platforms: AWS, GCP
- Visualisation: Tableau, PowerBI
Team & Environment
You will be part of the Data & Insights team, collaborating closely with cross-functional partners.
Benefits & Compensation
- Five days paid Life Leave on top of four weeks annual leave (pro-rated for part-time).
- 18 weeks gender neutral paid parental leave for primary carers, with no qualifying period and super paid for the duration.
- Free parking at your local Westfield destination.
Work Mode
This role works onsite from our Sydney support office.
We aspire to create a workforce reflective of the communities in which we operate and encourage applications from everyone regardless of age, gender, ethnicity, cultural background, faith, disability, sexual orientation, gender identity or life stage.
