Data Scientist

Wesfarmers Limited; Melbourne; On-site; AUD 110,000 - 160,000; Full time

Job summary

Wesfarmers Limited in Melbourne seeks a Data Scientist to join Wesfarmers OneDigital and help build Australia’s leading data and digital retail ecosystem. You will drive data-driven solutions across the full lifecycle—from exploration to deployment—collaborating with stakeholders to apply ML, analytics and generative AI across the Wesfarmers group.

The role focuses on translating business challenges into analytical problems, performing EDA, designing experiments, and deploying AI solutions while

Qualifications

• Several years of experience in data science, analytics, or AI.
• Experience with statistical analysis and hypothesis testing.
• Familiarity with machine learning algorithms and data driven AI applications.
• Proficiency in Python and SQL for data analysis and model development.
• Experience with Snowflake or other cloud data platforms.
• Experience with cloud ML platforms such as Vertex AI and GenAI tools.

Responsibilities

• Translate business challenges into analytical problems and develop data-driven solutions.
• Perform exploratory data analysis and generate actionable business insights.
• Design and execute A/B tests and other statistical experiments.
• Create clear visualisations and reports to communicate findings to non-technical audiences.
• Experiment, build and deploy machine learning and AI solutions.
• Evaluate ML/AI outputs for quality, cost, and safety.
• Monitor and maintain deployed solutions, ensuring reliability and performance.

Skills

Experience in data science

Statistical analysis

Non-technical communication

Hypothesis testing

Cloud platforms familiarity

Education

Bachelor's degree in Data Science / Stats / CS

Tools

Python

SQL

Snowflake

PowerBI

Vertex AI

GenAI Tools

LLM Evaluation

Job description

Wesfarmers OneDigital is building Australia's leading data and digital retail ecosystem, underpinned by AI across everything we do. We operate across four pillars - loyalty, data, retail media and AI, turning millions of customer interactions into insights that shape how Australians shop, live and connect.

We have an exciting, new opportunity for a Data Scientist to join our team!

This role will work across the full lifecycle of data science projects—from exploration and experimentation to deployment and monitoring. You’ll collaborate with stakeholders to solve business problems by applying machine learning, advanced analytics and generative / agentic AI to data across the Wesfarmers group. You’ll contribute to the development of scalable AI solutions and help embed data science into decision-making processes across the organisation.

What you’ll do

• Translate business challenges into analytical problems and develop data-driven solutions.
• Perform exploratory data analysis and generate actionable business insights.
• Design and execute A/B tests and other statistical experiments.
• Create clear visualisations and reports to communicate findings to non-technical audiences.
• Experiment, build and deploy machine learning and AI solutions.
• Evaluate ML/AI outputs for quality, cost, and safety.
• Monitor and maintain deployed solutions, ensuring reliability and performance.
• Leverage AI tools including coding agents, skills and plugins to accelerate experiments and enhance the quality of datascience outcomes.
• Contribute to the development and adoption of data science best-practices, reusable patterns and delivery standards.

What you’ll need

• Several years of experience in data science, analytics, or AI.
• Experience with statistical analysis and hypothesis testing.
• Familiarity with machine learning algorithms and data driven AI applications.
• Proficiency in Python and SQL for data analysis and model development.
• Experience with Snowflake or other cloud data platforms.
• Familiarity with cloud ML and AI platforms such as Google Agent Platform (formerly Vertex AI).
• Experience with AI coding tools, GenAI / agentic AI solutions and LLM evaluation.
• Experience with PowerBI or visualization tools. Experience using Snowflake, SQL, Python, Codex
• Experience with unsupervised learning, graph algorithms or causal inference.
• Application of ML / AI best practices and responsible AI.
• Google Agent Platform (Vertex AI)
• Ability to communicate technical concepts to non-technical audiences.
• Bachelor’s degree in Data Science, Statistics, AI, Computer Science, or a related field.

About Wesfarmers

As one of Australia’s largest listed companies, we’re proud of our longstanding contribution to Australians. We continually reinvent ourselves and invest in the businesses we own and operate, including leading retailers like Bunnings, Kmart, Target, Officeworks and Priceline. We also have an online offering, including OnePass and the Group shared data asset. Our work doesn’t stop there, we operate in the industrials sector which supplies the nation with chemicals, energy and fertilisers, and industrial and safety products. And we participate in an integrated lithium joint venture, including the operation of a mine and concentrator and the development of a refinery.

Join the team at Corporate Office

Join the team at Corporate Office which provides support and advice across the Wesfarmers Group

The Corporate Office provides corporate services and support to the autonomous businesses within the Wesfarmers Group, enabling the achievement of Group objectives. It leads capital allocation and portfolio management for the Group and focuses on leveraging and enhancing the Group’s reputation to support attraction and retention of talent, securing investment opportunities and maintaining a low-cost capital. To do this, we need great people, working together and role modelling our values and ways of working.

Our culture

We’re results focused, but we’re a business that cares. Here we are less about titles and more about everyone playing a valuable role. We provide autonomy and space with freedom to operate, quickly learning from mistakes because we know they are part of the way forward. We’re curious, open minded, and collaborative. And although we’re thought leaders, we’re humble, and willing to share knowledge and learn from one another.

We know that diversity fosters greater innovation and better customer connection, so we strive to create an inclusive and diverse work environment.