Company Description
Supporting millions of Aussies since **** with low fees and competitive long-term performance. Profits back to members, not shareholders
Closing Date: 17 February ****
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 ****, 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 adaptable 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 ****. Rest is recognised as a
Responsible Investment Leader
by the Responsible Investment Association Australia (RIAA) in its Responsible Investment Benchmark Report ****.
Rest will review applications prior to the closing date and may close the role earlier

📌 Junior Data Scientist (Sydney)
🏢 Rest
📍 Sydney