Senior Data Scientist - (Privacy & Security Controls)
Tasks
- Assess de identification and re identification risk
- Assess privacy and utility trade offs for synthetic data
- Build disclosure control algorithms and safe outputs review tools
- Build production quality code for auditable tools
- Collaborate with governance legal ethics and operational teams to meet requirements
- Design data driven security control assessment
- Detect potentially disclosive content
- Develop privacy and security controls
- Develop synthetic data generation approaches
- Evaluate privacy risks in trained models
- Implement threat detection and monitoring approaches
- Quantify Cyber Risk
- Research and apply emerging privacy enhancing technologies
Perks/Benefits
- Cycle to work scheme
- EV scheme
- Home and tech savings
- Hybrid work
- Paid time off
- Parental leave
- Pension scheme
Skills/Tech-stack
Anomaly Detection | Attribute Inference | Behavioral analytics | Confidential Computing | Cyber Risk | Cyber Risk Assessment | Data Deidentification | Deidentification Risk Assessment | Differential Privacy | Disclosure control | Federated Learning | Machine Learning | Membership inference | Model inversion | Privacy Attacks | Privacy-preserving | Privacy-preserving machine learning | Python | Risk Assessment | Risk quantification | Secure Aggregation | Statistical Disclosure Control | Statistical modeling | Synthetic data | Threat detection
Education
N/A
Roles
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