Overview
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.
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