Data Scientist

Data Scientist

- Deliver practical solutions that solve retail challenges
- Ponsonby and Favona office location with hybrid working (3 days in the office)
- Permanent Full- time role

We are Woolworths Group :

We are Woolworths Group. 200,000+ bright minds, passionate hearts and unique perspectives connected by a shared Purpose to create better experiences together for a better tomorrow.’ It’s that Purpose that fuels our ambition to explore new ideas, make brave commitments and innovate better ways to meet the food and everyday needs of more than 24 million customers every week.

If you’re excited to turn today’s blue sky thinking into a better tomorrow for future generations, you’ll find yourself supported and enriched in a dynamic, inclusive and empowering workplace that reflects the diverse communities we serve. With a culture of genuine care, a flexible approach to work and opportunities across the group to grow your career and make a meaningful impact, the possibilities for what we can achieve together are endless.

The purpose of the wiqNZ team is to unlock the power of data to reimagine retail, contributing to making Kiwis' lives a little better every day. We work closely with all WWNZ business units and our Group Data Management team.

What you’ll do:

You will collaborate directly with business units across Woolworths New Zealand and our Group Data Management team to turn raw data into retail innovation. Day to day, you’ll help design and deliver practical data solutions that solve real retail challenges, helping us modernise the shopping experience and make everyday life a little better for Kiwis across the country.

- Build Production Models: Design, test, and deploy robust machine learning algorithms, customer segmentation frameworks, and GenAI applications.
- Drive Commercial Decisions: Translate complex modelling insights into practical, data-backed recommendations that solve real retail challenges.
- Develop Reliable Pipelines: Write clean Python and SQL code to build and manage automated ETL workflows and large-scale datasets.
- Deploy Cloud Solutions: Architect and scale modern data science applications across Google Cloud Platform (GCP) and Azure environments.
- Own the Full Lifecycle: Lead projects from initial business scoping through to testing, integration, and live production rollout.
- Uphold Engineering Standards: Maintain code quality through disciplined debugging, thorough unit testing, and complete technical documentation.
- Embed Responsible AI: Apply ethical AI guidelines across all builds to safeguard customer privacy and actively eliminate model bias.
- Partner Cross-Functionally: Collaborate with commercial stakeholders and technical teams to align toolsets, overcome constraints, and share knowledge.

What you’ll bring:

Demonstrated experience in developing and optimising algorithms, statistical (analytical and predictive) and machine learning models, and proficiency in programming languages and cloud technologies to deliver data solutions.

- Proven Data Science Expertise: Track record of designing, building, and deploying production-grade ML models, segmentation algorithms, and GenAI solutions.
- Commercial Acumen: Strong ability to partner with business stakeholders and translate complex analytical findings into clear, commercially focused recommendations.
- Advanced Coding Skills: High proficiency in Python and SQL to build robust ETL pipelines, manipulate large datasets, and engineer clean data workflows.
- Multi-Cloud Proficiency: Hands-on experience developing, deploying, and testing scalable cloud applications across Google Cloud Platform (GCP) and Microsoft Azure.
- End-to-End Delivery: Demonstrated history of managing data science projects through their entire lifecycle—from problem scoping to production rollout.
- Engineering Rigour: Strong commitment to software best practices, including unit testing, functional debugging, version control, and clear technical documentation.
- Ethical AI Mindset: Deep understanding of Responsible AI principles, with practical experience mitigating model bias and safeguarding data privacy.
- Collaborative Mindset: Natural ability to work cross-functionally, align tooling with technical peers, and navigate system constraints effectively.

What you’ll experience:

- A global business with endless career possibilities around every corner and across every discipline – with valuable exposure to a vast and exciting business network.
- Team discounts across our range of Woolworths Group brands you know and love and a robust rewards program that celebrates and incentivises purpose-driven work.
- 12 weeks paid parental leave for primary caregivers plus paid superannuation for up to 12 months while the Team Member is on parental leave - eligible from the first day of employment.
- A range of programs to help you prioritise and manage your wellbeing, including 24/7 access to the Sonder app. A progressive and competitive leave policy that gives you more space for what matters to you.

Everyone belongs at Woolworths Group:

As one of the largest employers in Australia and New Zealand, we aim to create a truly inclusive workplace where everyone feels that they belong, can be their best selves, and reach their full potential.

Diversity, equity, inclusion, and belonging are key to realising our purpose of better together for a better tomorrow. We recognise the value our team’s diversity brings to our business, customers, and communities and that teams with diverse experiences and backgrounds enrich our group and are better able to innovate and solve problems.

Woolworths Group is an inclusive, team-first company and we value all skills and experiences. If you meet some, but not all of the requirements, we encourage you to submit your application.