Description of the job
We are looking to hire a commerically minded data scientist.
About Carrington LabsWe are looking to hire a commerically minded data scientist.
About Carrington LabsCarrington Labs, owned by ASX-listed Beforepay Group, helps lenders raise approval rates, reduce credit risk, and improve margins. Our platform combines bureau data with open-banking transactions to deliver transparent risk insights and loan-limit recommendations, supporting growth and financial inclusion.
You will work in a cross-functional squad of data scientists, engineers, and product managers to create high-performing data products that deliver measurable financial outcomes for our B2B lending clients. This is not a back-office analytics role — you will design, build, and deploy models that directly influence client P&L. You will run proofs of concept, validate commercial impact, and work closely with clients and internal teams to ensure our solutions drive adoption, revenue, and performance improvements.
- Design, build, and enhance Carrington Labs’ predictive models for credit risk, loan limit recommendations, and other lending solutions, with a focus on measurable business impact.
- Collaborate with data engineers, product engineers, and product managers to turn modelling capabilities into integrated, market-ready products.
- Conduct proofs of concept with clients to demonstrate uplift, validate value, and refine models based on real-world lending performance.
- Translate analytical outputs into commercial insights that support product positioning, sales conversations, and client decision-making.
- Partner with product managers to prioritise modelling efforts based on potential revenue lift, risk reduction, and client demand.
- Implement robust model monitoring to track performance against KPIs such as approval rate lift, default rate reduction, and margin improvement.
- Work with engineering teams to ensure data quality, scalability, and low-latency deployment of models via APIs and real-time inference.
- Stay across lending market trends, regulatory changes, and new modelling techniques to keep our solutions ahead of the curve.
- Masters, PhD, or equivalent in mathematics, statistics, computer science, engineering, or similar technical field.
- Strong proficiency in Python and SQL, with proven experience building, training, and deploying machine learning models in production.
- Demonstrable knowledge of supervised and unsupervised learning techniques and their application to lending and credit risk.
- Exposure to neural networks, transformers, and language models, with the ability to choose the right approach for commercial objectives.
- Familiarity with ML tools/frameworks such as Scikit-Learn, PyTorch, and Databricks or Spark.
- Experience working with large datasets, including open banking, bureau, and custom client feeds.
- Proven ability to link data science work to financial outcomes such as revenue uplift, margin expansion, or risk reduction.
- Strong communication skills — able to explain modelling decisions and results to non-technical stakeholders.
- Experience in credit risk or personal finance is desirable.
- Full Australian working rights are required; sponsorship may be considered for the ideal candidate.
- A high-impact role where your work directly influences client financial performance and company growth.
- The opportunity to shape the future of Carrington Labs’ data products and commercial modelling capabilities.
- Autonomy and ownership within a collaborative, cross-functional team.
- An inclusive, adaptable culture grounded in strong ethics.
- Workplace perks including kombucha and beer on tap, monthly company breakfasts, and regular team celebrations.
- Seniority levelEntry level
- Employment typeFull-time
- Job functionEngineering and Information Technology
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