Lead Applied AI and Data Scientist | IFS Copperleaf
Core
Lead the establishment of applied AI and data science practices, building models, data pipelines, and evaluation frameworks for capital decisioning and agentic AI products.
Role type
Lead Applied AI and Data Scientist (Greenfield/Champion)
Builds
Production ML models, LLM fine-tuning pipelines, agentic systems, and data foundations for capital planning.
Domain
Capital planning, asset-intensive industries, regulated financial services.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Classical ML (forecasting, anomaly detection, classification, clustering, causal analysis), Generative AI (LLM fine-tuning, RAG, grounding), MLOps (drift detection, model versioning, monitoring), Data engineering (dataset curation, pipeline building), Statistical evaluation, Agentic system design, Technical leadership and mentorship
Preferred skills
Domain fluency in asset-intensive capital planning, Experience with EU AI Act compliance, Self-disruption mindset
Technologies
LLMs, Vector stores, Streaming/telemetry systems, Agentic frameworks, Statistical evaluation tools
Responsibilities
Define and lead applied data science methods and standards, Build golden datasets and domain model training pipelines, Design and productionize predictive and analytical models, Evaluate and optimize LLMs and agentic systems, Implement MLOps lifecycle management, Mentor engineers and raise team capabilities
Seniority
Senior, hands-on IC with leadership and strategy responsibilities
