Enrico Schincariol
Lead Data Scientist — Generative AI & Agentic Systems
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experience
6+ years
Currently Lead Data Scientist at ADAPTFY.
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focus
AI engineering
MVP to Production — generative AI, agentic systems, enterprise RAG and predictive ML, from rapid prototyping and architecture through to delivery.
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operations
MLOps & GenAIOps
Evaluation, observability, CI/CD and secure cloud.
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education
MSc, Quantitative Finance
University of Ljubljana — 2021 · Erasmus exchange at Tilburg University — 2019–2020.
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languages
5 languages
Italian, Slovenian, English, Spanish, German.
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Lead Data Scientist — ADAPTFY
Lead strategy, architecture and delivery for AI products spanning generative AI, predictive ML and intelligent automation. Scope AI MVPs from business requirements and translate feasibility into production architecture and delivery plans.
Own technical decisions across application design, cloud integration, security and maintainability; set standards for AI development, MLOps, LLMOps and responsible AI; mentor scientists and engineers across data, product and business teams.
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Associate Data Scientist — ADAPTFY
Delivered generative AI and agentic products end to end — from architecture through production operations — with CI/CD, IaC, observability and CloudOps.
Selected workBusiness analytics platform — multi-agent orchestration with RBAC · Agentic code generation & cloud execution · “Talk with your data” — enterprise RAG · Audio transcription & LLM content generation
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Analyst Data Scientist — ADAPTFY
Designed and deployed cloud-based AI/ML solutions across client environments, building end-to-end pipelines with CI/CD, monitoring and automated retraining.
Selected workSecure RAG for internal documents · Predictive suite — churn, profitability, sales & demand (2022 — 2026) · Segmentation, clustering & personalised cross-sell (2022 — 2026)
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Data Scientist & Engineer — Tellow
Built ingestion and ETL pipelines, improving quality, integrity and compliance in high-volume processing; modernised reporting with dashboards and recommendations for marketing and executive stakeholders.
Selected workCloud data pipelines & BI modernisation
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Actuary — Prva Osebna Zavarovalnica, d.d.
Built risk models and forecasting for the transition to the new IFRS 17 standard, supporting actuarial assessment and reporting throughout the change programme.
Generative AI
- Retrieval-Augmented Generation
- Enterprise knowledge assistants
- Multi-agent orchestration
- Agentic workflows
- Code generation & execution
- Audio transcription
- Churn prediction
- Profitability estimation
- Sales-order & demand forecasting
- Segmentation & clustering
Enterprise & Production
- AI evaluation & benchmarking
- Guardrails & safe AI
- Human-in-the-loop feedback
- Responsible AI & governance
- Prompt & model versioning
- RBAC & secure document access
- PII redaction & auditability
- Cloud & third-party integration
- CI/CD, infrastructure as code
- Observability & CloudOps
- Monitoring, drift & auto-retraining
Stack
- Python, SQL, TypeScript
- Cloud Services
- Databricks
- MLflow, ZenML
- LangChain, LangGraph
- HuggingFace
- Claude Code, Opencode
- Terraform
Leadership
- MVP scoping & rapid prototyping
- Technical roadmapping
- Architecture & delivery standards
- Sprint planning & cross-functional coordination
- Mentoring scientists & engineers
- Stakeholder alignment
Master's in Quantitative Finance and Actuarial Sciences
Bachelor's Degree in Economics
Languages
- ItalianNative
- SlovenianNative
- EnglishC2
- SpanishLimited working
- GermanLimited working