Job Description Join a leading Fund Provider Great Career Opportunity in this Data Scientist Junior Level Role Sydney Located Hybrid Working - Blend of Sydney CBD Office and Remote Established in 1988, Rest is one of Australia’s largest profit-to-member superannuation funds. We support more than two million members, with around $100 billion of funds under management and are recognised as a responsible investment leader*. We believe when members understand and engage with their super, they’re more likely to get a better retirement outcome. Everything we do at Rest is underpinned by our values and behaviours, we want to Be Daring, Keep it Simple, Take Action and Have Grit. To put it simply we want our people to thrive and love the work they do. Primary Purpose We're seeking a Data Scientist (entry level role) to join our data science team and help improving outcomes for our members and the business. In this role, you'll work with advanced data analysis, machine learning, and emerging AI technologies including Large Language Models (LLMs) and Generative AI agents to understand member behaviour, identify trends, and support data-informed recommendations across the organization. Key Accountabilities/Responsibilities Data Science & Advanced Data Analysis Contribute to the development and maintenance of advanced analytical assets, machine learning models, and AI solutions Support building and refining data mining solutions, predictive models, and analytical frameworks Develop customer segmentation models and value measurement analyses Support data science strategy design and implementation Explore and implement LLM-based solutions and Generative AI agents to enhance business processes Business Impact Analyse key business behaviours including member engagement, retention patterns, and market dynamics Identify opportunities through statistical modelling, segmentation, and data-informed analysis Translate complex business problems into actionable analytical solutions Support marketing and retention strategies with data-informed insights and forecasts Collaboration & Communication Partner closely with business stakeholders across the organization Present findings clearly to non-technical audiences Collaborate with team members on analytical and modelling projects Contribute to strategic thinking around future modelling capabilities
