This is a Data Scientist role with LeavePlus based in Melbourne, VIC, AU LeavePlus Role Seniority - mid level More about the Data Scientist role at LeavePlus At LeavePlus, we’re committed to building data-driven products that make leave management simple, fair and accessible for everyone. This is a parental leave contract to build valuable experience and play an important role in a data team that directly improves member experience and operational efficiency. We’re looking for a collaborative, curious Data Scientist to join a cross-functional team working on high-impact analytics. You’ll help turn complex data into clear insights, reliable models and measurable business outcomes. What You’ll Do Drive insight-led decisions: Analyse large, messy datasets to identify trends, opportunities and risks that will shape product and business strategy. Build and deploy models: Develop, validate and productionise predictive models and scoring systems (e.g. classification, time-to-event, recommendation) with a focus on reliability and fairness. Collaborate across teams: Partner with product, engineering and operations to define problems, design experiments, instrument telemetry and translate results into actionable roadmaps. Communicate with impact: Present clear, evidence-based recommendations to stakeholders using visualisations and narrative that make complex analysis accessible. Improve processes and standards: Champion reproducible workflows, robust testing, monitoring and documentation for data and models. What You’ll Bring Strong analytical and statistical thinking, with experience in applied modelling and experiment design. Skilled in Python or R and experience with data tools (SQL, pandas, scikit-learn, or equivalent). Proficiency in Microsoft Azure, Azure: Data Factory, Databricks, Synapse Analytics, Machine Learning, HDInsight, Cosmos DB, DevOps Experience working with large, structured and unstructured datasets and familiarity with feature engineering and data pipelines. Ability to explain technical concepts clearly to non-technical colleagues and influence product decisions. A collaborative mindset and commitment to ethical, inclusive data practices. What You’ll Need To Have 3 years’ experience in a data science, applied research or analytics role (or equivalent). Practical experience building and validating predictive models, and deploying them into production or near-production environments. Strong SQL skills and experience with at least one programming language for data analysis (Python preferred). Familiarity with modern data engineering or MLOps concepts (versioning, CI/CD, monitoring) is desirable. Why join us? Play a key role in a mission-driven company where your work directly improves people’s lives. Work in a supportive, inclusive team that values curiosity, learning and collaboration. Opportunities for professional development, training and time to pursue technical improvements. A culture that celebrates diversity and encourages new ideas where your perspective will be valued. Ready to make an impact? Apply with your CV and a short cover letter telling us about a data project you’re proud of and why this role excites you. Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the LeavePlus team will be there to support your growth. Please consider applying even if you don't meet 100% of what’s outlined Key Responsibilities Driving insight-led decisions Building and deploying models Collaborating across teams Key Strengths Analytical and statistical thinking Python or R proficiency ☁️ Microsoft Azure expertise Experience with large datasets ️ Technical communication skills MLOps concepts A Final Note: This is a role with LeavePlus not with Hatch.