Engineering · Full-time · Sydney, Australia
About Us InDebted is changing the world of consumer debt collection for good. We’ve disrupted the traditional debt collection industry by providing businesses with a better way to support overdue customers to get back on track. Our solution is product-led, driven by AI and ML, and places customer experience at the core.
We’re fully remote, with a team of over 300 people living and working all around the world. Founded in Australia, we’ve since expanded into the United States, United Kingdom, Canada, and New Zealand. We’ve doubled our revenue year over year, with significant growth on the horizon. Now is an incredible time to join the team as we continue on our mission to help millions of consumers resolve debt, better.
Summary Description: 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.
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