Top Tech Jobs & Startup Jobs in Melbourne

Design and scale analytics solutions using data science, AI-native workflows, and cloud platforms. Develop models, algorithms, statistical analyses, and reusable AI-enabled approaches using Python and SQL. Evaluate AI-generated outputs, create technical specifications, support engineering delivery, mentor analysts, and improve workflows across distributed global teams.

Develop data science and AI-native analytical solutions using Python, SQL, cloud platforms, and AI tools. Responsibilities include data extraction and cleaning, feature engineering, model development, validation, testing, scalable solution design, and evaluation of AI-generated outputs. The role collaborates with analysts, engineers, and product specialists, contributes to project delivery and continuous improvement, and communicates technical concepts to non-technical audiences.

Analyze and manage data-driven products across property, consumer brands, and visitor economy verticals. Responsibilities include coordinating recurring product deliveries, reviewing data and deliverables for quality, onboarding and supporting clients, maintaining data-mining processes, and applying AI and automation to improve efficiency. The role requires advanced Excel, SQL, Python, strong analytical ability, attention to detail, and collaboration.

Manage a portfolio of FMCG clients, build senior stakeholder relationships, conduct data-driven analysis, and coordinate complex projects across teams. Generate customer and shopper insights to address commercial challenges involving promotions, category, range, marketing, and strategic trends. Present findings, contribute to business development, and collaborate on innovative AI-enabled solutions for retail and consumer businesses.

Leads data science project delivery for Woolworths, developing AI and analytics solutions that address complex business challenges. Manages and mentors a team of 3–5 analysts, maintains relationships with stakeholders and executives, and translates technical insights into clear recommendations. Applies Generative AI to improve analytical productivity and deliverable quality while providing hands-on technical leadership and presentations to non-technical audiences.

Build and deliver production-grade generative AI and LLM applications using Python, machine learning, cloud platforms, APIs, SQL, and data pipelines. Contribute to AI evaluation, observability, testing, code reviews, and technical standards. Collaborate with clients and domain experts to define solutions, explain technical concepts, and communicate risks and trade-offs. The role supports end-to-end AI/ML delivery while developing technical and consultative expertise.

Manage FMCG client portfolios and senior stakeholder relationships while delivering data-driven consulting solutions for pricing, promotions, category management, and brand strategy. Perform hands-on analysis of customer and shopper data, coordinate cross-functional teams, present actionable insights, develop industry relationships, support business development, and mentor team members. The role combines strategic advisory, analytics delivery, client leadership, and career development responsibilities.

Design and deliver scalable analytics solutions and models, create specifications for engineering, work with complex cloud-hosted datasets, apply advanced data science and ML methods, support product roadmaps, mentor and coordinate across global teams.