My client are looking for a data scientist who has actually shipped models that move numbers. Not dashboards. Not proofs of concept.
You’ll build churn, recommendation and next best action models that shape how millions of people engage and subscribe, then bring LLM and agentic approaches into that work.
You’ve got:
If this would be of interest please drop an email with your CV to [email protected]
You’ll build churn, recommendation and next best action models that shape how millions of people engage and subscribe, then bring LLM and agentic approaches into that work.
You’ve got:
- 8+ years in data science or applied AI, with real quantitative and statistical depth (experimentation, causal inference, uplift, survival modelling)
- Production ML experience across churn prediction, recommendation systems and next best action or decisioning
- Hands-on LLM and agentic work: RAG, orchestration, evals, and tools like LangGraph, Bedrock or Vertex AI
- Strong Python and SQL, and comfort taking models into production with MLOps
- The ability to explain results to non-technical stakeholders and tie them to commercial outcomes
If this would be of interest please drop an email with your CV to [email protected]