Data Scientist at Rest

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

22 Mar, 26

Salary

0.0

Posted On

22 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, AI Technologies, SQL, Python, Customer Segmentation, Predictive Models, Statistical Modelling, Data Analysis, Collaboration, Communication, Stakeholder Management, Feature Engineering, Data Visualization, MLOps, Cloud Data Platforms

Industry

Financial Services

Description

Company Description Supporting millions of Aussies since 1988 with low fees and competitive long-term performance. Profits back to members, not shareholders Closing Date: 4 January 2026 Please note Rest does not accept speculative resumes from recruitment agencies Rest may review applications prior to the closing date and may close the role earlier 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 Qualifications Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, AI/ML, or related field Required experience, understanding or credentials including: Experience of building AI and Machine learning models in the business context Proficiency in SQL, Python Familiarity with or eagerness to learn LLM frameworks and Generative AI technologies Enthusiasm for using data and modelling techniques to solve complex business problems Understanding of stakeholder management and translating business needs into analytical or modelling solutions Ability to communicate technical concepts to diverse audiences Experience managing multiple priorities and meeting deadlines in dynamic environments Ability to work both on your own and collaboratively Curious and motivated with genuine enthusiasm for learning and understanding how data tells stories Adaptable and comfortable with ambiguity and changing priorities Nice to Have Experience or understanding of superannuation, financial services, or insurance industries Familiarity with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and prompt engineering Experience with modern cloud data platforms (Snowflake, AWS Redshift, EC2, S3) Knowledge of modern ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face) Experience building models on Dataiku Experience with data visualization tools (Tableau, Power BI) Familiarity with version control systems (Git) and CI/CD practices Experience with feature engineering using DBT Knowledge of MLOps practices, model deployment, and monitoring Additional Information Benefits Our benefits have been designed so you can tailor your experience with us and include: Personal and professional development opportunities Flexible, hybrid working – work to suit your lifestyle (must be based in Australia) Purchase leave scheme and gender neutral 16 weeks paid parental leave Super Contribution Continuation for 12 Months of parental leave Meeting free breaks (Rest Stops) Income Protection Insurance Rest Excellence awards (peer recognition awards based on Rest’s values and behaviours) If you share our values, believe you can help make a difference for our members and want to be part of a leading superannuation fund with a Super culture, please click Apply Now. Rest is committed to creating a flexible work environment and culture that embraces diversity, equity, and inclusion - where people feel welcome, safe to be themselves and inspired to do their best. We value the different backgrounds, lived experiences and abilities our diverse team brings. We welcome and encourage applications from candidates of all ages, cultural backgrounds, faiths, gender identities, sexual orientations and thinking styles. This includes people with disability, neurodiverse individuals, Aboriginal & Torres Strait Islander peoples and those with disrupted work history due to career or other breaks. Please note only people with the right to work in Australia will be considered. *Funds under management as at 30 June 2023. Rest is recognised as a Responsible Investment Leader by the Responsible Investment Association Australia (RIAA) in its Responsible Investment Benchmark Report 2022. Rest will review applications prior to the closing date and may close the role earlier

Responsibilities

The Data Scientist will contribute to the development of advanced analytical assets and machine learning models to improve member outcomes. They will analyze key business behaviors and support data-informed recommendations across the organization.