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Enterprise Data Science Platform — regulated bank
Shared Dataiku platform: dev, pre-production, production — reliability, L3 support and reusable standards
→ Business impact: A reliable shared data-science platform for regulated workloads — separated environments, reusable deployment standards, coordination across infrastructure, security and business.
- Client
- Anonymised professional experience
- Role
- Senior Data Scientist — shared platform
- Period
- 2020 → 2024
- Status
- production
- dev · pre-prod · prod environments
- Level 3 support
- SLA monitored reliability
- reusable ✓ standards
Business context
Data-science teams had to ship regulated workloads on a mutualised platform — reliability and standards mattered more than features.
Constraints
- Regulated workloads
- Strict environment separation
- Production SLAs
- Multi-team support
- Security by design
Architecture
Architecture diagram — anonymised
Components: Dataiku · Kubernetes · Python · monitoring & SLA tracking
Platform workflow
Projects start in dev, promote to pre-production through reusable deployment standards, and run in production under SLA monitoring with Level-3 support.
Key architecture decisions
- Three strictly separated environments (dev · pre-prod · prod)
- Reusable deployment standards over case-by-case setups
- Support and operations as part of the platform product
My contribution
- Contributed to architecture and operations of the shared platform
- Monitoring and SLA tracking
- Incident analysis and L3 support
- Reusable standards
- NLP, vision and predictive solutions with the teams
Outcomes
- Platform continuously operated for regulated workloads
- Standards adopted by user teams
- Support load kept under control
Confidentiality
Internal figures and organisational details are not publishable.
Learnings
- A shared platform lives by its standards and support, not its features.
- Environment separation is organisational discipline before it is technical.
🚧 V-next — already in the works
This system ships continuously — the next stages are already on the bench. Come back to check the status, or ask the agent where it stands.
- Shared-platform pattern being formalised in the Architecture Lab.