AI Consultant | Data Scientist | Software Engineer

Quantium is a world leader in data science and artificial intelligence. Since 2002, we've combined the best of human and artificial intelligence to forge a better, more intelligent world. With over 1,200 data scientists, engineers, actuaries, statisticians, and AI specialists across 14 global locations, we partner with the world's largest corporations, including Australia's biggest bank, telco and retailer to solve problems that haven't been tackled before. We're the AI-native company that Anthropic, OpenAI, Google and AWS actively seek out for partnerships, building transformational AI solutions that reshape industries and deliver real-world impact. AI at scale While the market contracts, AI expands. The consulting model is changing—traditional firms are contracting, but AI-native companies are accelerating. We're at the epicentre of this transformation, and we're looking for 25-35 new team members to join our AI Consulting, Data Science and Engineering groups to help us scale game-changing work. Have you got 1 – 5 years' experience? Perfect - you're exactly who we need. We're not promising you a traditional path. We're offering you something much better: the chance to define what comes next. AI Consulting Facilitate discovery workshops and stakeholder interviews to identify and scope AI solution opportunities using enterprise tools like Claude and Microsoft Copilot, working with clients from initial use case identification through to implementation planning Design and develop scalable solutions that demonstrate measurable business value and validate technical approaches for clients addressing their most complex strategic and operational challenges Build comprehensive AI expertise while developing strategic consulting capabilities, staying current with emerging technologies whilst strengthening commercial acumen and business judgement Data Science / Machine Learning Develop robust, scalable Python code implementing best practices, designing components that enable AI at scale across datasets with LLM APIs and GenAI technologies Create technical POCs using enterprise AI tools to validate solution approaches, overcoming technical limitations through innovative approaches to ensure production quality Collaborate with Engineering Leads, Analytics Leads and Data Scientists to build cohesive solutions that deliver measurable impact Engineering Design and develop scalable full-stack applications using modern technologies, building responsive interfaces that effectively communicate complex data insights Develop robust APIs and backend services supportive high-performance data processing and AI model integration Collaborate with data scientists to integrate machine learning models into production systems, ensuring code quality through comprehensive testing and best practices The superpowers you'll be bringing to the team: Core capabilities (all roles): Curiosity: Drive to explore AI's emerging capabilities and discover applications others haven't considered—building cultures of constant exploration Critical thinking: Ability to assess AI outputs, spot errors, and recognise when AI's assumptions are wrong—organisational judgment that determines quality outcomes Optimism: See AI as expanding possibilities rather than limiting them—cultivate mindsets where AI innovation flourishes Persistence: Resilience to push through AI's inevitable limitations and find applications that create real value—organisational persistence over perfect pilots Agility: Capacity to keep learning as AI capabilities evolve rapidly and reshape how we approach work Collaborator: Someone who makes the people around you better and shares what you learn Technical requirements by stream: AI Consulting: Academic foundation in engineering, mathematics, actuarial studies, statistics, computer science, physics, or related discipline 1-5 years of experience in analytics, consulting, or client-facing roles Experience with SQL, Python, R, or similar programming languages Workshop facilitation and requirements gathering skills Strong communication skills for client presentations and stakeholder management Data Science / Machine Learning: Academic foundation in mathematics, statistics, computer science, actuarial studies, physics, or related discipline with 1-5 years of experience working with complex datasets Strong Python experience with ability to write production-quality code beyond Jupyter notebooks, plus familiarity with SQL, R, or similar languages Some experience with LLM APIs, GenAI technologies, or similar AI/ML tools with ability to build scalable, maintainable solutions Engineering: Academic foundation in engineering, computer science, mathematics, or related discipline with 1-5 years of software engineering, platform engineering, or cloud engineering experience Experience building scalable systems and production deployments using modern engineering practices and cloud platforms Strong technical problem-solving skills with attention to quality, testing, and best practices

Quantium is a world leader in data science and artificial intelligence. Since 2002, we've combined the best of human and artificial intelligence to forge a better, more intelligent world. With over 1,200 data scientists, engineers, actuaries, statisticians, and AI specialists across 14 global locations, we partner with the world's largest corporations, including Australia's biggest bank, telco and retailer to solve problems that haven't been tackled before.