W

Data Scientist

Wesfarmers

Melbourne, Victoria, Australia · Full Time

Be the first to apply

Experience
Any
Salary
—
Openings
1
Posted
4 days ago
Work mode
In office
Education
Bachelor’s degree in Data Science, Statistics, AI, Computer Science or related
Resume
Required to apply

Where you'll work

Sign in to tell us what does and doesn't work for you here — it sharpens every match we show you.

Job description

About Wesfarmers OneDigital

Wesfarmers OneDigital is committed to creating Australia's foremost data and digital retail environment, leveraging AI integration in all operations. Our activities span four key areas: loyalty programs, data analytics, retail media, and artificial intelligence, transforming extensive customer interactions into valuable insights that influence Australian shopping, lifestyle, and social connections.

Role Overview

This opportunity invites a passionate Data Scientist to engage in end-to-end data science project activities—from initial exploration and experimentation to deployment and ongoing monitoring. The successful candidate will partner with various stakeholders to address business challenges using machine learning, advanced analytics, and generative/agentic AI applied to data across the Wesfarmers group. A key responsibility includes aiding the creation and embedding of scalable AI-driven solutions within organisational decision-making processes.

Key Responsibilities

  • Interpret business issues as analytical challenges and deliver data-centric solutions.
  • Conduct exploratory data analysis to extract actionable insights.
  • Design and implement A/B tests alongside other statistical experiments.
  • Develop clear visuals and comprehensive reports that cater to non-technical stakeholders.
  • Build, test, and operationalize machine learning and AI models.
  • Assess ML/AI outputs focusing on quality, cost efficiency, and safety compliance.
  • Oversee and sustain live data science solutions ensuring consistent reliability and performance.
  • Utilize AI tools such as coding agents, skills, and plugins to expedite research and improve project outcomes.
  • Play an active role in creating and promoting data science best practices, reusable methodologies, and delivery standards.

Qualifications and Requirements

  • Multiple years of experience within data science, analytics, or AI-related roles.
  • Strong background in statistical analysis and hypothesis testing.
  • Competence with machine learning algorithms and AI-driven applications.
  • Proficiency in Python and SQL tailored for data querying and model development.
  • Hands-on experience with Snowflake or comparable cloud-based data platforms.
  • Knowledge of cloud ML/AI ecosystems, including Google Agent Platform (formerly Vertex AI).
  • Experience leveraging AI coding utilities, generative AI, agentic AI, and evaluating large language models.
  • Familiarity with visualization tools like Power BI and using Python, Codex, and SQL in Snowflake environments.
  • Exposure to unsupervised learning techniques, graph algorithms, and causal inference methodologies.
  • Adherence to best practices in ML/AI implementation and responsible AI deployment.
  • Capability to effectively translate complex technical ideas for audiences lacking technical backgrounds.
  • Holds a Bachelor’s degree in Data Science, Statistics, Artificial Intelligence, Computer Science, or a closely related discipline.

About Wesfarmers

Recognized as one of Australia's top-listed corporations, Wesfarmers proudly impacts the Australian community through continuous reinvention and investment in its diverse portfolio, including prominent retail brands such as Bunnings, Kmart, Target, Officeworks, and Priceline, plus digital offerings like OnePass and Group data resources. Beyond retail, Wesfarmers operates in industrial sectors supplying chemicals, energy, fertilisers, and safety products, alongside a joint venture in lithium exploration, mining, and refining.

Corporate Office

The Wesfarmers Corporate Office underpins autonomous business units by delivering strategic support and advice to facilitate achievement of overall Group goals. It manages capital allocation and portfolio oversight while enhancing the Group’s reputation to attract and retain talent, secure investments, and maintain cost-efficient capital structures.

Work Culture

At Wesfarmers, focus is placed on delivering results while nurturing a caring environment. The organisation values contributions over titles, granting autonomy and the freedom to innovate—embracing learning through experimentation and collaborative openness. Diversity and inclusivity fuel innovation and customer rapport, and Wesfarmers actively fosters a workplace rich in these values.

Minimum education

Bachelor's Degree

Industry

Retail

Tools & software

Microsoft Power BI required Google Vertex AI required Snowflake required

How they work

Communication Teamwork & Collaboration Creativity Learning Agility Accountability
🤖
Online · instant AI help
Broxer