Jobs at Quantium

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.

Design and develop data science solutions for Telstra’s operational systems using Python, SQL, predictive modeling, and AI. Responsibilities include feature engineering, model development, data product creation, GenAI and LLM experimentation, stakeholder collaboration, deployment, validation, and continuous improvement of production solutions.

Senior Data Scientist responsible for turning customer sentiment model outputs into actionable data products and business use cases. The role involves solution design, stakeholder collaboration, directing contributor work, explaining technical concepts, and serving as the data science subject-matter expert. Candidates need Python and SQL proficiency, predictive modeling knowledge, end-to-end data science delivery experience, and the ability to mentor less experienced colleagues.

Lead the superannuation and wealth portfolio, ensuring commercial and delivery success of client engagements. Build C-suite relationships, drive business development, shape AI-driven propositions, manage proposals/pricing, and grow a high-calibre team while implementing AI-enhanced analytics solutions.

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.