Senior Data Scientist at Enklare owning end-to-end ML models from data to production. Working across data engineering, data science and backend systems for financial impact.
Responsibilities
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.
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.
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