Forward-Deployed Data Scientist II

Role overview NielsenIQ is seeking a Data Science Manager based in Sydney. This leadership position centers on guiding a team of data scientists who transform complex datasets into actionable insights for clients. The manager shapes project direction and ensures analytical work meets high standards. Main responsibilities Lead and mentor a team of data scientists, fostering professional growth and collaboration Oversee the development and improvement of data science methodologies Review analysis and recommendations to ensure they consistently meet client expectations Support strategic decision-making and contribute to the company’s business growth

Role Overview Canva is seeking a Senior Data Science Manager to guide a team focused on productivity initiatives. Based in Sydney, this leader will shape how data science supports and improves operational efficiency across the company. What You Will Do Lead and mentor a team of data scientists working on projects that impact productivity Promote data-driven decision-making throughout the organization Develop and implement solutions that streamline operations and processes About the Team This group works at the intersection of data science and business operations, collaborating closely with stakeholders to deliver measurable improvements in productivity.

About Future Secure AI Future Secure AI builds advanced artificial intelligence solutions for real-world challenges across multiple industries. The company values bravery, rigor, and curiosity, with a leadership team that encourages open communication and professional growth. Co-developed with major financial institutions, Future Secure AI combines startup agility with enterprise backing. The focus: developing agentic AI Co-workers, autonomous systems that help organizations work smarter and faster. Employees work closely with C-suite leaders and international partners to create AI Co-workers that think, act, and collaborate. The goal is to transform how people and AI work together. Role Overview: Senior AI Engineer in Data Science This Senior AI Engineer role centers on building agentic AI Co-workers, multi-step reasoning systems, and autonomous workflows for enterprise use. The position involves designing and implementing advanced large language model (LLM)-driven agents that plan, make decisions, and act independently. Safety, reliability, and scalability remain top priorities throughout development. The Senior AI Engineer helps set the technical direction for the AI platform, mentors junior engineers, and ensures systems deliver strong results in complex environments. The work directly shapes how humans and AI collaborate. Key Responsibilities Design, develop, and deploy agentic LLM-driven systems with planning, tool-use, workflow orchestration, and reasoning features. Apply machine learning and advanced analytics to improve decision-making for autonomous AI Co-workers. Enhance multi-step reasoning, context management, and system responsiveness. Locations Sydney, Melbourne, Brisbane

About Future Secure AI Future Secure AI develops advanced artificial intelligence solutions for global enterprises. The company focuses on solving real-world challenges across various sectors, guided by BRAVER values and a culture that values curiosity, diligence, and courage. Leadership maintains an open-door policy, supporting both professional growth and individual contributions. Collaboration with leading minds and the pursuit of meaningful work are central to the company’s mission. Company Overview Future Secure AI operates as a fast-growing frontier-AI company, co-developed with a major global financial institution. The team combines startup agility with enterprise-level backing. The core mission: create agentic AI Co-workers, autonomous systems designed to reason, act, and work alongside people to boost productivity and transform organizational performance. With direct access to C-suite leaders and a growing network of international partners, the company aims to develop AI Co-workers that can think, act, and collaborate, reshaping how workplaces function. Role Overview: Senior Staff AI Engineer in Data Science The Senior Staff Data Scientist takes on a key technical leadership role, driving the development of agentic AI Co-workers, complex multi-step reasoning systems, and scalable autonomous workflows for enterprise use. This position designs and implements advanced large language model (LLM) agents capable of planning, decision-making, and action execution at scale, with a strong focus on safety and reliability. Influence over the technical direction of the agentic AI platform is central to this role. Responsibilities include mentoring emerging talent and ensuring that systems remain resilient, well-aligned, and effective in delivering results within complex environments. Work in this role directly shapes the future of human-AI collaboration. Locations Sydney Melbourne Brisbane

Who is Quantium?Quantium stands at the forefront of data science and artificial intelligence. Founded in Australia in 2002, we are a global collective of over 1,200 professionals operating across 14 locations. Our unique combination of product development and consulting services empowers businesses to harness the full potential of data and analytics. We collaborate with some of the largest corporations worldwide to create a smarter, more insightful world.The Opportunity We are actively seeking talented individuals at various stages of their careers in Australia (Sydney, Melbourne, and Brisbane), and we invite you to express your interest. Whether you're just embarking on your professional journey, are midway through your career, or are a seasoned leader, we want to hear from you. At Quantium, you will not just create models that are stored away; you will develop systems that transform how organizations function—on a large scale, in production, and with tangible real-world impact. Our teams tackle genuinely unsolved challenges, employing the latest AI and data science techniques in collaboration with some of the brightest minds in the field. We are currently accepting expressions of interest for roles ranging from individual contributors to executive positions in: AI, Analytics & Data Science

Join Tracksuit Limited as a Marketing Science Specialist in the vibrant city of Sydney. In this role, you will leverage data analytics to drive marketing strategies and optimize campaign performance. Collaborate with cross-functional teams to transform insights into actionable recommendations, ensuring our marketing efforts are data-driven and effective.

Join Analytic Partners, a premier global authority in commercial measurement and optimization, with nearly 25 years of experience transforming data into actionable insights for some of the world's most recognized brands. Our comprehensive approach to decision-making is bolstered by an industry-leading platform and a dedicated team of experts, guiding leaders to make informed decisions swiftly, driving business growth and fostering impactful customer relationships. With a presence in over 50 countries and offices spanning across New York City, Miami, Dallas, Dublin, London, Paris, Singapore, Shanghai, Munich, Sydney, Melbourne, Charlottesville, and Denver, we are rapidly expanding and seeking exceptional talent to help shape the future of analytics. Discover more about our innovative services at analyticpartners.com and see why we have been recognized as a leader in the industry by reputable research firms such as Forrester and Gartner.

About auspayplus auspayplus (AP+) brings together BPAY Group, eftpos, and NPP Australia, forming a unified organization at the center of Australia’s domestic payments. This integration aims to strengthen the country’s payments system, supporting innovation and addressing regulatory and technology changes. AP+ values collaboration and welcomes people from all backgrounds, abilities, and identities. Role Overview: Data Governance Manager The Data Governance Manager leads the development and ongoing improvement of AP+’s enterprise data governance. This role shapes frameworks, ownership models, and operational practices to manage critical data assets across their lifecycle. Working closely with Data, Technology, and Business teams, the manager drives data quality and stewardship while ensuring compliance with regulatory and risk management standards. Main Responsibilities Design, maintain, and enhance the Data Governance Framework, including a maturity roadmap and target operating model that align with enterprise strategy. Set up and uphold enterprise-wide data ownership and stewardship models, ensuring critical datasets are identified, classified, and assigned clear accountability. Oversee metadata management, including the business glossary, metadata standards, and data lineage for essential datasets. Define and enforce standards for data lifecycle management, covering data retention, archival, and disposal. Work with data teams to establish data quality metrics, monitor Critical Data Elements (CDEs), and lead remediation and issue resolution efforts. Ensure governance practices comply with regulatory requirements (such as APRA CPS230, CPS234, Privacy Act, CDR) and integrate these into daily operations. Manage data-related risks, aligning governance controls with the broader enterprise risk management and information security frameworks. Promote continuous improvement by equipping Data Stewards with tools, training, and guidance. Embed data governance into enterprise platforms and tools (such as Snowflake), as well as across projects, change initiatives, and business-as-usual activities.

Join Braze as a Forward-Deployed Data Scientist II, where you will leverage data science to deliver impactful solutions that enhance customer engagement. You will work closely with cross-functional teams to analyze data, develop predictive models, and implement data-driven strategies that align with our mission.

Be a part of a transformative team reshaping the design landscape! Greetings from Canva! We're thrilled to have you consider joining our innovative team. We understand that job searching can take time, so let's dive into what we have to offer.Work Environment and FlexibilityOur main campus is located in Sydney, with additional offices in Melbourne and co-working spaces in Brisbane, Perth, and Adelaide. We believe in empowering our Canvanauts to choose how and where they work to achieve optimal results.Key Responsibilities As a Senior Data Scientist at Canva, you will collaborate with a variety of teams across our organization. Our Data Scientists play an integral role in product, business, and operational areas, driving impactful decisions through data. You will contribute to our culture of experimentation and data-driven insights by:Collaborating with teams to steer strategic decisions using data insights.Designing and analyzing A/B tests and various experiments to enhance product and business outcomes.Creating data models, dashboards, and tools that facilitate scalable insights.Identifying and forecasting key metrics to track progress and unveil new opportunities.Effectively communicating findings to diverse audiences, both technical and non-technical.Enhancing the broader data community through mentorship, best practices, and collaboration.Ideal Candidate ProfileYou may be the perfect fit if you possess:A proven history of leveraging data to drive significant impact across products or business units.Proficiency in SQL for complex queries and experience with large datasets.A strategic mindset with a passion for solving ambiguous challenges using data.Exceptional communication skills, with the ability to craft compelling narratives from data.Experience with experimentation, event instrumentation, and data warehousing.Familiarity with programming languages such as Python or R, alongside a strong foundation in statistics or a STEM discipline.An understanding of essential tech metrics, including product funnels and growth accounting.A commitment to data accuracy and integrity, using your expertise to facilitate informed decision-making.Why Join Us?At Canva, our ambitious goals drive us to work diligently. You'll experience many moments of creativity, collaboration, and fulfillment along the way. Join us on this exciting journey!

Deputy is a leading global SaaS company specializing in workforce management, with key hubs located in Sydney, Melbourne, San Francisco, and London, alongside a remote workforce across the United States.Our innovative platform supports over 1.5 million workers and 375,000 businesses in more than 100 countries. Recently recognized as a Unicorn, we are backed by prominent global investors.At Deputy, we aim to revolutionize the work environment for the 80% of the global workforce composed of hourly workers. These essential team members, from baristas to nurses, ensure our society functions smoothly. Unlike traditional workplace technologies that cater primarily to desk-bound employees, Deputy focuses on empowering the frontline. By adopting Deputy, organizations experience heightened profitability, compliance, and productivity, while employees report increased engagement and job satisfaction.As we transition into an AI-native company, you will be encouraged and supported in utilizing AI tools and methodologies throughout your daily tasks. We provide training and resources to help you harness AI effectively, fostering innovation and efficiency in problem-solving.If you’re eager to craft solutions that prioritize people and contribute to the success of businesses and their teams, consider joining Deputy to make a meaningful impact!As our Data Management Analyst, you will be the key architect of Deputy's Data Governance Framework, bridging Data Engineering and Business Intelligence while leveraging AI. In alignment with DAMA DMBOK standards, you'll spearhead the implementation of our metadata and governance platforms, ensuring robust infrastructure and processes. Your goal is to transform our data landscape into a well-defined 'Data Asset,' maintaining structural integrity, high discoverability, and strict quality standards to support Deputy’s global growth.

We are seeking an experienced and innovative Lead Data Scientist to join our dynamic team at Lendi Group, based in Sydney. In this pivotal role, you will leverage your expertise in data science to drive strategic decision-making and contribute to the development of cutting-edge products. You will collaborate with cross-functional teams to extract insights from complex data sets, building predictive models and deploying machine learning algorithms that enhance our lending solutions.

About UsAt Employment Hero, we strive to transform the employment landscape, making it easier and more rewarding for all. Our innovative Employment Operating System integrates hiring, HR, payroll, and benefits into one cohesive solution.Founded in 2014, we've rapidly expanded our footprint, achieving a valuation of $2 billion and establishing our presence across six countries: Australia, New Zealand, Singapore, Malaysia, the UK, and Canada. We proudly serve over 350,000 businesses and support more than 2 million employees globally.Our CultureWe take pride in our distinct culture, known as The EH Way:Mission Driven: Every action we take is aligned with our mission.Remote First: We promote a remote-first approach with a focus on asynchronous communication and autonomy.AI First: AI is integral to our operations, driving our innovations and scaling efforts.Apolitical: We maintain neutrality on political and social issues unless they pertain to our mission.Values-Oriented: Our values guide our actions 100% of the time.High Performance: We set ambitious standards and strive for excellence.Role OverviewAs the Data Platform Manager, you will spearhead our Data Engineering and Analytics Engineering teams across Australia, Canada, and Vietnam. This position is ideal for a technical leader who can shape strategy and execution, critically evaluate technical proposals, and play an active role in enhancing our data and AI capabilities.Your mandate will focus on delivering our AI-powered self-service analytics platform, treating it as a product with iterative improvements, performance metrics, and a comfort with uncertainty.Key ResponsibilitiesBuild and nurture a high-performing Data and Analytics Engineering team functioning seamlessly across three time zones, ensuring ownership, speed, and accountability.Design and enhance a scalable, resilient data platform that supports reliable reporting, analytics, and AI applications across the organization.Establish and implement a clear data platform strategy and roadmap that aligns with business objectives and delivers measurable outcomes.Empower teams with AI-driven, self-service analytics, enabling them to swiftly and confidently derive insights independently.Significantly enhance data reliability, performance, and trust, ensuring data serves as a solid foundation for decision-making.Minimize analytics backlog by refining tools, data models, and workflows, transitioning the team from reactive responses to proactive enablement.

Join Mable, a pioneering force in the healthtech sector, where we are dedicated to transforming the care and support landscape. Our entities, including HomeMade, Leap in!, and Mable Direct, are united by a common mission:1. To foster enduring, positive changes across the care sector, improving lives and elevating standards.2. To harness technology as a crucial enabler in our initiatives.3. To empower customers to achieve better outcomes through our services.As a Senior Data Scientist at Mable, you will utilize your advanced data science skills to enhance our customer services. Your role will involve researching, developing, and refining machine learning models and integrating generative AI solutions to optimize our customer engagement tools and processes. Collaboration with cross-functional teams will be essential as you work in a dynamic and fast-paced environment dedicated to making a tangible impact in Australia's care and support sectors.

Join Canva as a Staff Data Scientist in the Discovery team, where you will leverage your expertise to drive impactful data insights and contribute to our mission of empowering the world to design. You will work collaboratively with cross-functional teams to analyze large datasets, develop predictive models, and inform product strategies that enhance user experience.

About AirwallexAirwallex stands as the premier unified payments and financial platform for global enterprises. Through our distinctive blend of proprietary infrastructure and cutting-edge software, we empower over 200,000 businesses globally – including industry leaders such as Brex, Rippling, Navan, Qantas, and SHEIN – with seamlessly integrated solutions for managing everything from business accounts and payments to spend management and treasury, alongside embedded finance on a global scale.Founded in Melbourne, we proudly employ over 2,000 of the most talented and innovative individuals in tech across 26 offices worldwide. Valued at US$8 billion, we are supported by top-tier investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital. Airwallex is at the forefront of developing the future of global payments and finance. If you’re prepared to undertake the most ambitious work of your career, we invite you to join us.

About Ticketek Entertainment GroupAt Ticketek Entertainment Group, we are dedicated to crafting unforgettable experiences for fans globally. As a leading fan experience company, we specialize in ticketing, promoting, and delivering live events that capture the essence of real human connection. In a world filled with distractions, our mission is to enhance the joy of live experiences!Our diverse portfolio includes the Fan Experience Platform (Ticketek), which provides ticket sales and value-added services, along with event promotion through entities such as TEG Touring, TEG Sport, and TEG Experiences. Our digital arm, Ovation, focuses on transforming data into seamless, impactful experiences for our fans and partners.About the RoleWe are seeking a Senior Data Scientist who possesses advanced technical expertise and a strong theoretical foundation to spearhead the development of TEG's next generation of AI products. Collaborating closely with the Principal and Lead Data Scientists, you will serve as a bridge between pioneering research and production-ready applications. Your role will involve partnering with ML Engineers and Product teams to uphold technical excellence through CI/CD implementation, Dockerization, and comprehensive model monitoring. Your primary objective will be to enhance the technical capabilities of our team, ensuring every solution is grounded in scientific rigor and scalable engineering practices.What Your Day Will Entail:State-of-the-Art Implementation: Leverage your deep theoretical understanding to implement cutting-edge machine learning and Generative AI solutions that yield tangible business benefits.Solution Design Support: Collaborate with Principal and Lead Data Scientists to assess technical feasibility and provide insights to guide the AI roadmap.Experimentation & Measurement: Develop robust frameworks for experimentation and measurement to quantitatively evaluate model performance and its impact on business outcomes.Development and Operational Delivery: Produce high-quality production code to develop and enhance models, working alongside ML Engineers to deploy solutions on cloud platforms.Vertex AI Expertise: Design and implement comprehensive AI solutions within the Vertex AI ecosystem, utilizing Pipelines, Agent Garden, and Vertex Search.Stakeholder Engagement: Act as a trusted advisor, translating complex model behaviors and AI-driven business impacts into actionable insights that align with TEG's strategic objectives.

Who is Quantium?Quantium stands at the forefront of data science and artificial intelligence, established in Australia in 2002. With over 1,200 professionals across 14 locations globally, we seamlessly blend product and consulting services to empower businesses in unlocking the full potential of their data and analytics. Our partnerships with the world's largest corporations aim to create a more intelligent and innovative future. At Quantium-Telstra (QT), we are embarking on a groundbreaking AI transformation with Telstra InfraCo, revolutionizing the planning, construction, and operation of Australia’s digital infrastructure.As a Senior Data Scientist, you will be an integral part of cross-functional QT–InfraCo teams, reporting to QT Leads and collaborating directly with InfraCo stakeholders to bring AI opportunities to fruition. Your responsibilities will include conducting discovery and design sessions, coordinating project delivery among business and technical teams, actively developing AI and ML solutions, and tracking measurable outcomes as these capabilities are implemented.

Quantium, founded in Australia in 2002, has grown into a major player in data science and artificial intelligence. With over 1,200 employees across 14 global locations, the company partners with leading corporations to deliver data-driven insights and solutions through both products and consulting services. Role overview The AI Program Manager will play a central role in Quantium’s largest transformation to date. This position bridges ambitious AI strategies with hands-on execution, supporting both client-facing and internal teams. The work centers on driving operational improvements and establishing clear structure and governance for rapidly expanding teams. Collaboration with experienced consultants and delivery leaders is a key part of the job, as you help build the frameworks and capabilities that support major AI initiatives and client projects. What you will do Connect AI strategies to practical delivery for clients and internal stakeholders Support the creation of frameworks and processes for large-scale AI programs Work closely with consultants and delivery leaders to ensure client engagements succeed Contribute to shaping how Quantium delivers its most ambitious AI projects Location This role is based in Sydney.