Senior Manager- Data Science
Mentor and guide a team of talented data scientists
Drive the adoption of best-in-class methodologies, tools, and practices
Central Sydney locations with hybrid working (3 days in the office)
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.
We strive to create better experiences together for a better tomorrow for our customers and team, bringing the best of Woolworths Group and Quantium together to make data driven decisions. By partnering with Quantium, a world-class data science and advanced analytics business we’re excited about the future as we unlock the power of AI and Insights to reimagine retail.
Through this partnership, the wiq team harnesses the best of Woolworths Group and Quantium data science and analytics talent to reimagine retail by solving the most complex problems using AI and analytics. As a team, we leverage Agile ways of working to help our team develop their skills while also making sure our team is focusing on solving the most complex problems for both our customers and team.
What you’ll do You will drive the technical development and delivery of all personalisation and data science foundation initiatives. Mentoring and guiding a team of talented data scientists, while also serving as a key partner to senior business stakeholders. Your role is critical in translating complex business challenges into innovative data-driven solutions that enhance the customer experience at Woolworths Group.
Oversee the complete development lifecycle—from ideation and scoping through to production deployment for a team of data scientists and machine learning engineers.
Drive the adoption of best-in-class methodologies, tools, and practices, including the use of advanced ML techniques, MLOps principles, and up-to-date Generative AI / Agentic AI toolkits.
Partner with product managers and executive business stakeholders to understand challenges and opportunities in the personalisation space. Scope new initiatives and foundational capabilities, manage project expectations, and communicate complex technical concepts and project outcomes to both technical and non-technical audiences.
Possess a strong understanding of the Group’s personalisation objectives and key metrics. Proactively identify opportunities to leverage data science, machine learning, and AI to drive tangible business value and operational efficiencies.
What you’ll bring Experience in scoping and delivering complex data science and machine learning products from inception to production, demonstrating a product-centric approach by deeply understanding business needs, defining clear business value, and iterating solutions based on measurable impact.
Experience working in an agile environment and navigating a complex organisational structure
Proven experience leading and developing high-performing data science and machine learning engineering teams.
Strong communication and presentation skills, with the ability to influence and align diverse groups of senior and executive stakeholders.
Strong business acumen and the ability to translate business objectives into a technical roadmap.
A relevant degree (or equivalent experience) in Data Science, Computer Science, Statistics, Machine Learning, or a similar quantitative field. A postgraduate degree is highly regarded.
Good command of experimental design, modern propensity modelling, recommendation system, reinforcement learning toolkits for optimisation and evaluation. Extensive commercial experience leading the application of AI/ML techniques to solve real-world business problems.
Good understanding of the full ML lifecycle, including feature engineering, model selection, hyperparameter tuning, and evaluation.
Expert-level proficiency in a Python-first stack. Extensive experience with a major cloud platform, with a strong preference for GCP. A deep understanding of MLOps principles, including CI/CD pipelines, containerization (Docker), and model monitoring.
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 to submit your application.
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