Lead Data Science
EUR 50K-76K (estimate) Senior-level Full Time
Tasks
- Build and optimize machine learning models
- Collaborate with engineering and product to integrate models into production
- Define best practices for experimentation frameworks
- Define best practices for feature engineering and model validation
- Drive model performance monitoring and governance
- Ensure alignment with MLOps standards
- Lead end-to-end data science solutions
- Mentor and develop data scientists
- Oversee model productionization
- Own modelling approaches for fraud and financial crime use cases
- Provide technical strategy for data science capabilities
Perks/Benefits
- Dental insurance
- Enhanced paid family policies
- Flexible holiday carry over
- Flexible working hours
- Free breakfast snacks and fruit
- Gym and leisure discounts
- Income protection
- Life assurance
- Paid charity days
- Paid holiday buy sell
- Private health insurance
- Private laptop or TV support
- Summer hours with early Friday finish
- Wellbeing room
Skills/Tech-stack
AWS | Azure | Cloud Computing | Crime prevention | Deep learning | Experimentation Frameworks | Feature Engineering | Financial Crime Prevention | Financial crime | Fraud Detection | Graph analytics | MLOps | Machine Learning | Machine learning monitoring | Model Validation | NumPy | Out Of Time Validation | Pandas | Production Deployment | Python | Real Time | Real-time analytics | Representation Learning | Risk Analytics | Scikit-learn | Series forecasting | Supervised Learning | Time Series | Time Series Forecasting | Transformer Models | Unsupervised Learning
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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