Senior Data Scientist
Tasks
- Build personalized recommendation systems
- Collaborate with stakeholders across business functions
- Contribute to data science best practices and documentation
- Define success metrics for experiments
- Deploy and monitor production ML models
- Design and build LLM-powered solutions
- Develop pricing and propensity models
- Implement intelligent search and document processing
- Lead ML and AI delivery end to end
- Maintain model robustness scalability and reliability
- Run champion challenger experimentation
Perks/Benefits
- Coaching sessions
- Enhanced holiday package
- Fertility support
- Home office equipment allowance
- Home-office allowance
- Hybrid working
- Inclusive parental leave
- Learning and development budget
- Life assurance
- Matched pension contributions
- Regular social events
- Share options
- Vitality Private Healthcare
- Work from abroad
Skills/Tech-stack
AI Pipelines | BigQuery | Claude API | Code review | Containerization | DBT | Deep learning | Docker | Experiment design | Gemini API | Git | GitHub | Kubeflow | Language Models | Language Processing | Large Language Models | Looker | MLOps | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Python | SQL | Snowflake | Statistical Analysis | Unit Testing | Vertex AI | Vertex AI pipelines
Education
N/A
Roles
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