Data Scientist
iSOFT · Sydney, New South Wales, Australia
قدّم وتابع مع أبلاي إيدجAbout The RoleThe ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Create compelling visualisations to communicate complex findings and insights to non-technical stakeholders. Craft data-driven narratives that inform decision-making and guide strategic initiatives within the organisation.ResponsibilitiesUse statistical methods and machine learning algorithms to predict future outcomes and identify emerging financial crime threats.Develop predictive models to inform risk-based decision-making and resource prioritisation for investigations.Analyse both upstream and Financial Crime Surveillance (FCS) generated data quality to ensure accuracy and completeness.Identify and resolve data quality issues that could impact the effectiveness of financial crime detection efforts.Apply machine learning techniques, generative AI, Natural Language Processing and Large Language Models to improve identification of patterns and optimise surveillance strategies.Build, test, and refine predictive models to support real-time financial crime monitoring and investigation.Utilise programming languages such as Python, R, and other advanced tools (instead of SQL and Excel) to analyse large datasets, develop algorithms, and implement data-driven solutions.Required SkillsA minimum of 5 years of industry experience in developing and deploying generative models for various applications, with a strong track record of delivering successful AI solutions.Good understanding of the latest advancements in deep learning, reinforcement learning and generative models, with a proven track record of building and deploying successful applications/solutions in this field is desirable.Experience in the following areas: natural language processing, or computer vision Methods: NLP, LLM, GenAI, Open AI, Microsoft Cognitive Services – Audio to text, text mining NLP, Image recognition, Machine LearningStrong programming skills in Python and SQL skills.Good experience in SAS and PowerBI is desirable.