Jobs at Quantium

Lead AI transformation across analytical workflows and assets, coordinate AI and data science teams, mentor team members, guide technical strategy, and drive adoption of agentic development practices. Collaborate with clients and global teams to deliver high-quality analytics solutions, translate technical capabilities into measurable business outcomes, and remain hands-on with data science, cloud analytics, AI coding tools, and agentic workflows.

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.

Senior HR Business Partner providing strategic HR support to Engineering: coach leaders on performance, ER, culture and change; shape people plans (resourcing, mobility, TA); use workforce analytics to inform actions; lead improvement initiatives and experiment with AI-enabled HR tools to increase impact.

Design, build, and maintain full-stack solutions that productionize data science and analytical work, from data pipelines to user-facing features. Establish strong engineering practices around architecture, testing, and code quality; collaborate with data scientists and analysts; and contribute to cloud-native infrastructure and data engineering. The role also requires effective communication across disciplines, adaptability in ambiguous environments, and regular use of AI-assisted development tools.

Design, build and maintain full-stack features and services with end-to-end technical ownership. Apply strong engineering practices (testing, code review, CI/CD), collaborate with stakeholders and squad members, and adopt AI-assisted tooling to solve complex product problems for Checkout AI.

Leads engineering delivery across fast-cycle client engagements, from scoping through execution, quality assurance, and outcome measurement. Partners with senior clients to translate technical complexity into commercial terms, guides architecture and quality decisions, and coaches distributed engineers across projects. The role requires strong consulting, full-stack or AI engineering credibility, stakeholder communication, adaptability, and end-to-end delivery ownership.

Own end-to-end talent acquisition for the Engineering organization, partnering with the CTO and senior technology leaders on hiring strategy, market intelligence, sourcing, and candidate experience. Build pipelines for hard-to-fill technical roles, improve recruitment processes and tools, support employer branding, and manage, coach, and develop a small team of technical recruiters.

Leads end-to-end data science solutions for retail and consumer clients, applying machine learning, statistical modeling, AI, and data wrangling. Frames business problems, develops and deploys production-grade models, communicates insights to stakeholders, ensures technical best practices, mentors team members, and supports business development through solution scoping, proposals, and presentations.

Leads the design, architecture, delivery, and technical roadmap of enterprise-grade full-stack applications. Provides engineering leadership and mentorship, establishes development standards, drives cloud-native architecture and CI/CD practices, manages incident response, and partners with product and delivery stakeholders. The role requires deep expertise in Microsoft technologies, frontend and backend development, system scalability, security, reliability, performance optimization, and leading teams of approximately five to eight engineers.

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.

Drive global financial planning and management reporting, including month-end close, divisional P&L reporting, OPEX analysis, forecasting, budgeting, and CFO reporting. Analyze financial performance, identify risks, provide recommendations, support finance transformation projects, and improve FP&A processes. The role requires advanced Excel and Anaplan skills, strong financial modeling capabilities, attention to detail, and effective cross-functional collaboration.

Lead growth and innovation in retail analytics by shaping the innovation roadmap, identifying AI-driven opportunities, and delivering proof-of-concept solutions. Partner with analytics, product, client, retail, and trade stakeholders to validate, scale, and commercialize solutions across Australia, New Zealand, and global markets. Define success metrics, measure outcomes, drive adoption, and influence senior and C-suite stakeholders across partner organizations.

Serve as the welcoming face of Quantium’s Sydney office by managing reception, visitor experiences, meeting rooms, security-conscious front-of-house procedures, hospitality support, facilities coordination, stock control, catering, gifting, and events. Provide exceptional service to clients, employees, candidates, and partners while adapting across operational functions, maintaining confidentiality, and supporting a professional workplace environment.

Leads the design and production delivery of generative AI solutions for clients. Manages and mentors data scientists, sets engineering standards, oversees solution quality and documentation, supports technical scoping and pre-sales, and helps shape reusable AI components and team strategy. Requires strong AI and machine learning expertise, production architecture experience, Python skills, cloud-native development knowledge, and commercial communication abilities.

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.

Lead delivery of Dollar General promotional analytics: adapt Quantium methodologies for US retail, design solutions, manage small team (1-2), review code, translate transaction-level data into client-ready insights, and collaborate with US teams during overlapping hours.

Own the operational backbone of Quantium’s partner ecosystem. Responsibilities include managing partner portals, tracking deal progression, reconciling portal data with HubSpot, maintaining CRM accuracy, invoicing partner funding, tracking rebates and incentives, and managing partner collateral and enablement materials. The role is based in Sydney with hybrid flexibility and supports partnerships and sales operations.