Summary: This Senior Applied Analytics Scientist champions AI adoption, develops best-in-class methodologies, and drives strategic decisions through actionable insights within a dynamic retail environment. Highlights: 1. Champions AI adoption and explores generative AI 2. Drives strategic decisions through actionable insights 3. Empowering data-driven decisions and accelerating transformation Senior Applied Analytics Scientist * Champions AI adoption, explores generative AI, and develops best-in-class methodologies. Champions AI adoption, explores generative AI, and develops best-in-class methodologies. * Ponsonby and Favona Support Offices with hybrid working (3 days in the office. * Drive strategic decisions through actionable Insights Drive strategic decisions through actionable Insights 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. The purpose of the wiqNZ team is to unlock the power of data to imagine retail, which contributes to making Kiwis’ lives a little better every day. We work closely with all WWNZ business units, as well as with the broader wiq team. Bridge the gap between data and business strategy by addressing and solving specific business problems by leveraging a wide array of available tools and models. DrivING  significant business value by translating complex business problems into advanced analytics solutions, with a strong focus on helping the business to apply AI into actionable insights. Play a critical role in accelerating our transformation, fostering collaboration with wiqAU, and continuing empowering data-driven decisions, and demonstrating the value of our analytics work. * Stakeholder Collaboration & Problem Definitio Stakeholder Collaboration & Problem Definition: Engage proactively with business to understand their objectives, operational challenges, and key performance indicators. Ability to translate ambiguous business questions into well-defined, data-addressable problem statements and analytical requirements. * Business Acumen & Communication: Business Acumen & Communication: Demonstrate strong business acumen to translate business needs into analytical solutions and effectively communicate complex findings to non-technical audiences. * Data Acquisition & Preparation: Data Acquisition & Preparation: Identify, gather, and integrate data from internal and external sources. Perform thorough data cleaning, validation, and transformation to ensure data quality and reliability, for analysis. Conduct exploratory data analysis (EDA) to understand data structure, identify patterns, and formulate initial hypotheses. * Analytical & Modeling Expertise: Analytical & Modeling Expertise:  Apply a range of statistical methods (e.g., hypothesis testing, regression analysis, time series analysis) and foundational machine learning algorithms (e.g., clustering, classification, decision trees) to analyse data, identify significant trends, patterns, correlations, and causal relationships relevant to the defined business problem. * I Insight Generation & Recommendation: Distill complex analytical results into clear, concise, and actionable insights that directly address the business questions. Develop evidence-based recommendations for action, outlining potential benefits, risks, and implementation considerations. * Communication & Visualisation: Communication & Visualisation: Create compelling data stories to effectively communicate findings and recommendations to non-technical audiences, including senior leadership. Prepare compelling presentations. * Collaboration & Leadership: Collaboration & Leadership: Collaborate with cross-functional teams, provides guidance to analysts, and contributes to a culture of collaboration and innovation. Provide guidance and support on analytical methodologies and techniques to Analysts.