Key skills
PythonSQLMLdbt
About this role
Role Overview
- Own the full lifecycle of models: data → training → evaluation → production → monitoring
- Build and maintain feature transformations in dbt (batch layer)
- Develop and train models (e.g. credit risk, pricing, decision systems)
- Deploy models to production using APIs or batch pipelines
- Ensure models are stable, monitored, and retrained when needed
- Work closely with stakeholders to define problems and evaluate impact on risk, conversion, and profitability
- Collaborate with Data Engineers on data pipelines and infrastructure
- Improve internal processes around ML development and deployment
Requirements
- 5+ years in Data Science / ML
- Experience building and deploying models into production
- Strong experience with SQL and data modeling in a warehouse
- Experience with dbt or similar transformation frameworks
- Solid Python skills for modeling and data processing
- Understanding of how ML systems run in production (APIs, batch, monitoring)
- Comfortable owning systems end-to-end — not just modeling.
Tech Stack
- Python
- SQL
Benefits
- High ownership, real impact, and a short path from idea to production.
- You’ll help shape our ML platform and ways of working.
- Building systems that directly influence business decisions and financial outcomes.
- Part of building the decisioning systems from the ground up.