Lead Data Scientist at Lendi Group | Sydney

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 QuantiumQuantium stands at the forefront of data science and artificial intelligence innovation. Founded in Australia in 2002, we are a global collective of over 1,200 professionals across 14 locations, uniquely positioned with a blend of product and consulting expertise to empower businesses to derive significant value from data and analytics. We collaborate with some of the world’s largest corporations to create a more intelligent future.We are fully committed to AI, evolving into an AI-native organization while guiding our clients through their transformation journeys. With 23 years of domain expertise, proprietary data partnerships, and exceptional AI adoption rates (90% weekly active usage), we are leading the charge in AI.As the Lead Data Scientist in our AI Technical Solutions team, you will spearhead the design and execution of advanced AI solutions for our clients. This role entails managing and mentoring a talented team of data scientists, developing innovative Generative AI applications to address intricate business challenges. You will merge deep technical proficiency in AI/ML with strong leadership skills, transforming emerging AI capabilities into practical, high-impact solutions while nurturing the team's growth.You will set the technical direction for AI solution delivery, establish best practices for production-grade development, and participate in business development initiatives including technical scoping, proposal crafting, and client presentations. As a technical leader, you will architect solutions that balance creativity with pragmatism, advocate for engineering excellence, and cultivate the next generation of data scientists at Quantium.

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.

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.

At Neara, we're revolutionizing the energy sector with innovative technology. Imagine the ability to simulate the resilience of an entire power grid against a hurricane, all before the storm approaches. This is the groundbreaking work we do, leveraging advanced machine learning to create engineering-grade digital twins of electricity grids across four continents. Our solutions empower asset owners to identify their most pressing challenges and implement effective strategies across vast infrastructures.By simulating extreme weather scenarios and structural stress across networks, we enable major utilities to better understand risks, optimize their investments, and contribute to a more resilient global energy future.Our talented team is dedicated to making a real impact in the world, using AI and machine learning to enhance everything from data classification to intricate scenario analyses. We foster a culture of innovation where every team member is committed to our mission, and we are seeking intelligent, creative individuals to help expand this mission globally.We are currently seeking a Lead Data Engineer to spearhead the development of Neara's emerging data and integration platforms, essential for our digital twin applications.In this role, you will engage in extensive collaboration with our multidisciplinary team, including delivery, engineering, and product specialists, to meet key client needs. A robust T-shaped skill set in software engineering, data engineering, and data science is required.As an early data engineering hire, you will take on greenfield projects, enjoying significant autonomy and complete ownership of our data and integration platforms. We expect you to champion data engineering excellence, adeptly navigate uncertainties, and rapidly adapt to evolving landscapes while gaining a strong understanding of the challenges this role addresses, supported by our exceptional team.Join us at Neara, where your ideas are valued, your development is supported, and your successes are celebrated.

Join Our Journey of InnovationFor nearly six decades, Coates Group has been at the forefront of forging meaningful connections between some of the globe's most recognized brands and their customers. While we take pride in our achievements, we recognize that this is just the beginning of our adventure!As a global technology leader, we specialize in crafting dynamic, intelligent, personalized, and engaging customer experiences. Our offerings include a diverse range of digital hardware, an exclusive content management system, and industry-leading signage solutions. If you've ordered at a McDonald's drive-thru in recent years, you likely interacted with our innovative digital solutions. Operating in over 50 international markets and with nine offices worldwide, our global headquarters resides proudly in Sydney, Australia, where our story began.At Coates Group, we embody the values of a family-owned enterprise coupled with the innovative drive of a start-up. This unique combination fuels our mission – Creating Connections. Empowering Partnerships. Always Evolving. Through commitment, creativity, and hard work, we've emerged as industry leaders, earning accolades and setting benchmarks while maintaining a focus on continuous growth and evolution. We are proud recipients of the Australia Good Design Award and have completed the largest hardware deployment in Quick Service Restaurant history.Our team is characterized by curiosity, authenticity, and a celebration of diversity. We are visionaries, kindness advocates, experts, creators, thinkers, challengers, collaborators, and high achievers. Together, we are redefining how the world's leading brands utilize technology to enhance customer experiences.We are seeking a Senior Data Engineer to take charge of our data infrastructure, architecting solutions, developing scalable frameworks, and creating robust data pipelines that empower data-driven decision-making across Coates Group. You will lead comprehensive data engineering projects, collaborating with cross-functional teams to design, build, and optimize solutions that transform complex data into reliable, business-ready assets.From overarching platform strategies to hands-on pipeline development, you will enhance performance, reliability, and innovation throughout our data landscape. You will also adapt to evolving priorities, troubleshoot critical issues, and perpetually refine our data ingestion, transformation, and distribution processes, ensuring our foundations are secure, scalable, and primed for future growth.

About QuantiumQuantium stands at the forefront of data science and artificial intelligence. Founded in Australia in 2002, our global team of over 1,200 professionals spans 14 locations, offering a unique blend of product and consulting services designed to help businesses derive value from data and advanced analytics. By partnering with some of the world's largest corporations, Quantium is committed to creating a more intelligent and efficient world.We boast a diverse team of experts, including data scientists, actuaries, statisticians, business analysts, strategy consultants, engineers, technologists, programmers, product developers, and futurists, all dedicated to leveraging the power of data to drive transformative results for our clients.The CommBank iQ Dedicated Analytics chapter functions as a strategic analytics partner, seamlessly embedding analytical capabilities within enduring client relationships. By utilizing de-identified transaction data, advanced analytics, and an AI-first methodology, our team accelerates insight generation, automates workflows, and enhances decision-making processes at scale — facilitating a shift from intuition to evidence-based decision-making while unlocking measurable commercial value.

Join Canva as a Staff Data Scientist focused on Growth, where your expertise will drive data-informed decision-making across our dynamic teams. We are seeking an analytical thinker with a passion for leveraging data to uncover insights that will enhance our user experience and propel our growth. In this role, you will collaborate with cross-functional teams to develop models and analyses that directly influence product strategy and user engagement.

About Ticketek Entertainment GroupAt Ticketek Entertainment Group, we are dedicated to creating unforgettable live experiences for fans around the globe. Our mission is to enhance the way people engage with live events, making every occasion a remarkable memory. We operate a diverse portfolio, including our Fan Experience Platform (Ticketek), which sells tickets and offers added services, as well as promoting events across various sectors, including sports (TEG Sport), touring (TEG Touring), and family experiences (TEG Experiences). Additionally, our digital division, Ovation, focuses on delivering seamless, data-driven outcomes for fans and partners alike.About the Role:As a Data Engineer, you will leverage your strong technical skills in solution design, architecture, and coding to significantly impact our data engineering initiatives. You will provide technical guidance, mentor junior engineers, and collaborate with business and product teams, all while continuously honing your skills with the latest technologies and industry best practices.What You Will Do:Ensure compliance with data privacy, security, observability, and governance standards.Collaborate with architects and senior engineers to design resilient, high-performance data solutions.Construct scalable data pipelines for data ingestion, processing, and exposure using technologies such as Snowflake, AWS Redshift, Kinesis, Lambda, DynamoDB, S3, Glue, and Apache Storm.Develop batch and streaming data solutions utilizing Apache Kafka, Apache Spark, Airflow, and Delta Lake for both real-time and scheduled data processing.Design and implement event-driven data architectures using streaming frameworks like Kafka Streams and Kinesis Data Firehose.Establish Data Quality, Data Lineage, and Observability frameworks.Create CI/CD pipelines using tools like GitHub Actions and Terraform.Work closely with Site Reliability Engineers to ensure the stability and uptime of production pipelines and services.Continuously seek opportunities for performance enhancement, cost optimization, and process efficiency.Collaborate with Data Scientists to ensure high-quality data for Machine Learning models and integrate them into production-ready pipelines.Be responsible for technical delivery, proactively identifying risks and solutions while coordinating with engineers, BAs, QAs, and Project Managers (PMs) to guarantee the successful execution of data initiatives.

Role Overview ESR Group is seeking an Accountant in Sydney to support monthly and year-end financial reporting. This role covers financial accounting, management accounting, and tax compliance, with a focus on improving processes and increasing efficiency through automation and system upgrades. Main Responsibilities Monthly Tasks Prepare detailed workpapers and manage the month-end close and reporting for assigned entities. Work with internal teams to process monthly management fees. Oversee recognition of co-investment income each month. Compile revenue summaries to analyze budget and forecast variances. Help draft the monthly financial performance report for the CEO and CFO. Support financial data processing and reporting to meet ESR Group standards. Day-to-Day Activities Check payments against bank records, Yardi, and invoices. Generate invoices and record receipts for trade debtors. Monitor accounts receivable for timely cash collection. Assist with daily cash flow management. Tax Compliance Prepare monthly BAS reports. Compile annual income tax returns. Assist with Country by Country Reporting to the ATO as required. Process and System Improvements Identify opportunities for process and system enhancements. Take responsibility for deliverables in team projects, especially those focused on process improvement. Ad-Hoc and Annual Duties Support internal and external auditor requests and help prepare year-end statutory accounts. Prepare annual financial statements. Assist with vendor verification. Maintain and improve financial systems. Communicate with the ATO/ABR on tax compliance and administrative issues.

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.

Join Braze as a Forward-Deployed Data Scientist II and play a vital role in transforming data into actionable insights that drive business strategies. You will work alongside cross-functional teams to implement advanced analytics and machine learning solutions that enhance customer engagement and optimize product performance.

Join Qantas Group as a Senior Internal Audit Lead, where you will play a pivotal role in enhancing our audit practices and ensuring compliance with regulatory standards. As a key member of our audit team, you will leverage your expertise to drive audits across various functions, providing insights that support our strategic objectives.

Join Our Team as a Driver and Data Collector!At Terry Soot Management Group (TSMG), we are pioneers in field data collection, established in 2017. Our mission is to gather critical data in areas where automation falls short. Our dedicated teams capture features, take photographs, create videos, record audio, and meticulously scan environments to provide you with the insights you need for informed decision-making. With teams spanning across Europe and North America, we embrace new challenges and opportunities.Project OverviewThis project aims to gather images of streets, key points of interest, and public spaces in various EU countries. Utilizing vehicles equipped with 360-degree cameras, our data collectors will document the surroundings of the vehicle, with the collected data ultimately enhancing one of the most widely used online maps globally.You will follow designated routes through public streets and areas that prominently feature commercial hubs and historical landmarks. Given inclement weather, you may need to revisit certain locations to ensure the highest quality imagery. This project is projected to last between 3 to 6 months and will encompass diverse data collection zones.We are looking for an ideal candidate who enjoys driving, possesses a strong knowledge of the local area and traffic patterns, and is characterized by a high degree of responsibility and reliability.The expected work schedule is Monday to Friday, 8 hours a day, totaling 40 hours a week, with potential weekend shifts due to weather-related delays.

Role Overview Plenti is looking for a Data Engineer in Sydney to help strengthen and improve our data infrastructure. This position works with teams across the business to design, build, and maintain data pipelines that support analytics and business intelligence efforts. What You Will Do Collaborate with colleagues from different departments to understand data needs Design and develop data pipelines for reliable data flow Maintain and optimize existing data infrastructure Support analytics and business intelligence projects by ensuring data is accessible and accurate About You Experience building and maintaining data pipelines Strong interest in using data to inform business decisions and improve user experiences Comfortable working with cross-functional teams This role is based in Sydney.

Canva seeks a Group Product Lead - Print to guide the direction of its Print division from the Sydney office. This leadership role centers on shaping print products that meet both customer needs and business objectives. Key responsibilities Lead cross-functional teams to set and execute strategy for print products Define and manage the product roadmap for Canva’s Print offerings Apply data and insights to improve user experience and inform product choices Encourage new ideas and approaches in print products to help drive business growth Requirements Strong background in product leadership Genuine interest in the print sector Location This position is based in Sydney.

About BrighteAt Brighte, we are dedicated to making consumer energy resources (CER) not just affordable, but accessible to everyone.We are pioneering a platform that simplifies the energy transition, allowing for a seamless and secure experience in buying and selling energy equipment. Our visionary founder and CEO, Katherine McConnell, was honored as the Telstra Businesswoman of the Year in 2020 and received the Sustainability Crusader award at B&T's 2023 Women Leading Tech Awards. She embodies a passionate and down-to-earth leadership style, prioritizing a human-first approach in business. In our journey towards 2025, we have been recognized as one of the AFR Sustainability Leaders in the Banking and Finance category and celebrated with the inaugural Sustainability Award at the Affies in 2024! About the RoleAs Brighte's Data Engineer, you will be responsible for the essential infrastructure that ensures our data is reliable, scalable, and primed for AI applications. This includes managing our ELT pipelines (Airflow + dbt), the Snowflake Data Warehouse, and our overarching data architecture.You will collaborate closely with our Analytics Engineering and Analytics teams, all with the singular aim of providing high-quality, traceable data that can be trusted and utilized by our business.If you thrive on tackling infrastructure challenges and aspire to shape the future of a modern data stack, this opportunity is tailored for you. What You'll DoDesign and maintain Brighte’s data infrastructure.Enhance and maintain the ELT (Extract, Load, Transform) pipeline, our data architecture, and relational data models.Establish testing suites and control mechanisms to ensure a ‘single source of truth’ for the business.Work alongside our IT Operations team to ensure Snowflake platform administration is effective.Oversee Snowflake database administration.Identify, define, and implement improvements in data processes to maximize value from existing and potential data sources.Promote a culture driven by data.Architect solutions for real-time data pipelines and AI use cases.Effectively communicate ideas and insights across the team.

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.

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.