Our company operates a range of systems and processes. As a data automation engineer, you will play a pivotal role in automating data transfer processes. This entails identifying existing processes, and proposing solutions, developing, implementing, testing and maintaining automated solutions.As part of our Research and Development team, you will collaborate closely with other software engineers, analytics engineers and systems specialists, as well as cross-functional teams to deliver the automations in the business.

 We are at the forefront of revolutionising our industry by leveraging machine learning models, conversational AI models, data-driven approaches, and innovative technology to accelerate our disruption of the traditional debt collection industry. By utilising the rich datasets, we have accumulated from communicating with our customers via digital-first channels and other innovations, we are able to efficiently deliver significantly better results compared to our industry peers.We are seeking a passionate and experienced Data Scientist who can leverage their skills to drive business value by improving our key success metrics. You will play a vital role in developing machine learning and conversational AI solutions to resolve complex business problems, such as enhancing customer engagement, improving operational efficiency and improving collection performance. This involves end-to-end project management, ranging from the conceptualisation and innovation of solutions to the sourcing and processing of data, and to the development, deployment, and monitoring of machine learning models as well as prompt-engineered & fine-tuned large language models.

InDebted is on a mission to change how the world thinks about and handles debt and financial fitness. We've been recognised by AFR BOSS as the Best Place to Work, not just because of what we do, but how we do it. Our team is over 300 strong, spread out over 11 countries, and we're growing. Fast.We are in the look out for exceptional people to connect with to join us in our journey toward becoming the default debt collection fintech, globally.You should consider joining us if you:• Get excited about owning a feature from an idea to live. At a large scale.• Love learning not just the tech, but the why behind what you're building.• Believe that a good day's work means making a difference alongside people you respect.• You've built things that scale and know your way around complex systems.• You get the fundamentals of CS, engineering principles, and why testing matters.• You can talk about complex ideas clearly, whether you're speaking to a coder or someone not technical.Tech StackGo, AWS Serverless (think Lambda, SQS, SNS, DynamoDB, Aurora, PostgreSQL, Sagemaker,...), Terraform, BuildKite, GitHub, OpenAI, Netlify, React JS.

 The Data team at InDebted focuses on developing machine learning models, AI solutions, BI solutions and data transformation processes to accelerate our disruption of the traditional debt collection industry. By utilising the rich datasets we have accumulated from communicating with our customers via digital-first channels and other innovations, we are able to efficiently deliver significantly better collections performance results compared to our peersBe part of this exciting journey as a Lead Analytics Engineer at InDebted working with other members of our R&D team to develop and deploy robust custom reporting data pipelines and file integration solutions. This is a developer role with people management responsibilities

  Our engineering principles are primarily based on collaboration with Pair Programming, small feedback loops with Test Driven Development, Trunk Based Development and Continuous Deployment, backed by a foundational layer of Infrastructure as Code, Observability, a Zero Bug Policy and accountability with Collective Ownership.How we work: We have a lightweight process. We do pair programming and we have a strong focus on knowledge sharing. Our teams are self-organised and cross functional.

About UsInDebted is changing the way organisations recover outstanding accounts by combining human values with compelling messaging and data-driven decisions. We do this to deliver on our mission to be the preferred choice of customers to support their debt free journey, everywhere.We are a fast-growing startup that believes in putting our customers first, tackling tough problems head-on, and simply trusting our employees to get stuff done. We offer a four day work week, flexible schedules, unlimited paid leave, competitive salaries, stock options, and other perks that come with being a remote-first company.About the RoleWe are looking for an Accountant to join our global Finance team. Our global Finance team primarily works in Australian Eastern Standard Time (GMT + 10) so some overlap between your day and ours would be ideal.As a remote company, we look for folks who can adapt and learn quickly, are eager to work in a fast-paced environment, have excellent attention to detail, great communication and time management skills.The Accountant will have responsibility for the day to day accounting activities, supporting the business as a whole. The role will report