As the Data Scientist, you will own the design, development, and validation of AI and machine learning models that power the company's platform intelligent capabilities - document extraction, exception detection, sentiment analysis, predictive analytics, and similar features.
Key Responsibilities:
- Design and develop AI and ML models for in-scope use cases - document extraction, exception classification, sentiment detection, and predictive analytics
- Evaluate model performance against production quality thresholds - define and track accuracy, precision, recall, and confidence scoring
- Support MLOps pipeline design in collaboration with the Cloud/MLOps Engineer - versioning, monitoring, and retraining
- Document model design decisions, training data, evaluation methodology, and known limitations
- Maintain model performance as the platform scales to new entities and market
Ideal Candidate:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 3+ years in data science or applied ML with experience deploying models to production
- Familiarity with Python and agentic frameworks (e.g., LangGraph/langFlow, Anthropic Claude SDK)
- LLM prompting, fine-tuning, and retrieval-augmented generation (RAG) for enterprise document contexts
- Understanding of MLOps practices - model versioning, monitoring, and retraining at scale
Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.
