Senior Data Scientist

What you’ll do Reporting to the Head of Data Science & ML Ops you will develop, implement, and optimize the end‑to‑end creation, development, and delivery of new, robust, and reusable analytical, AI & ML solutions and predictive models for WWNZ. Own end‑to‑end outcome ownership and accountability for the full project lifecycle, including complex problem‑solving and independent experimentation and design with minimal oversight. This includes advanced model development, designing and implementing GenAI solutions, conducting ethical reviews and bias assessments, and contributing to explainable AI methods. Demonstrates experience in developing and optimizing algorithms, statistical (analytical and predictive) and machine learning models, and proficiency in programming languages and cloud technologies to deliver data solutions. Perform database ETL tasks to prepare data for machine learning algorithms. Perform maintenance, unit testing, functional testing, and debugging of code to provide a robust error‑free solution. Maintain and enhance the modelling data mart to ensure an efficient and accurate modelling process. Interpret analysis and modelling results in a business context and provide commercially focused recommendations to support business decisions. Engage with business partners and delivery teams to ensure algorithms are delivered and implemented into production systems. Develop and maintain state‑of‑the‑art advanced statistical and machine learning models to drive Woolworths objectives. Develop, maintain and enhance a variety of customer segmentation models and algorithms to uncover customer insights. What you’ll bring Proven commercial experience in statistical and machine learning modelling. Experience manipulating and making sense of big data from disparate systems. Strong analytical skills with the ability to collect, organise, analyse and disseminate significant amounts of information with attention to detail and accuracy, and experience in working in complex, multi‑stakeholder environments. Advanced working knowledge of analytical programming: SQL & Python. Exposure to Big Data platforms, such as Hadoop and Spark. Practical design & implementation of Gen AI solution. Experience in implementation of project MLOps pipelines, advanced monitoring and championing best practices. Experience in mentoring teams of data scientists. Strong negotiation and influencing skills. Lateral thinker and present with excellent interpersonal attributes. Ability to query databases and perform statistical analysis. Ability to develop or program databases. 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. Hybrid Working Hybrid Working Ponsonby / Favona (3 days in the office). 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. #J-18808-Ljbffr