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Lead Data Scientist
Not specifiedFull-timeData ScienceFinancial Services
Lead a hands-on data science function for an investment firm managing consumer debt portfolios across Australian and European markets. Own production models, retraining infrastructure, feedback loops, and an agentic AI layer that brings model outputs to portfolio managers and business stakeholders.
Responsibilities
- Own production models for portfolio pricing and recovery forecasting.
- Build and maintain infrastructure for regular model retraining on fresh data.
- Develop a feedback loop that uses post-deal analysis to improve pricing decisions.
- Design and build agents, LLM workflows, and governance for querying data and running scenarios on financial data.
- Set technical standards and mentor data scientists.
- Partner with the VP of Data and commercial team on the data science roadmap.
Requirements
- At least 5 years of data science experience, including production machine learning.
- Experience building, deploying, maintaining, and evolving production models.
- Strong Python and SQL skills, with experience owning data pipelines.
- Experience with cloud data platforms, especially GCP and BigQuery.
- Hands-on experience with LLMs and modern AI tooling, including shipped workflows or features.
- Ability to translate model outputs into actionable decisions for non-technical stakeholders.
- Fluent English for work with international leadership and counterparties.
Nice to have
- Production experience designing agentic systems or LLM-based products.
- Experience in credit risk, lending, collections, or debt purchasing.
- Experience with survival analysis, forecasting, or propensity modeling.
- Experience leading or mentoring data scientists.