Senior Data Scientist
Tasks
- Build marketing recommendation and CRM personalization models
- Define success metrics for experimentation and validate results
- Design and build LLM powered solutions for document processing intelligent search and content understanding
- Improve pricing propensity and demand models
- Lead end to end ML and AI initiatives from problem framing to deployment to monitoring
- Partner with stakeholders to translate business problems into production ready solutions
- Provide technical documentation and shared best practices for the data science function
- Run champion challenger experimentation
- Select appropriate modeling approach for scalability reliability and explainability
Perks/Benefits
- Childcare support
- Enhanced holiday package
- Home office equipment allowance
- Home-office allowance
- Hybrid working
- Inclusive parental leave
- Learning and development budget
- Life assurance
- Matched pension contributions
- Monthly coaching sessions
- Private healthcare
- Regular social events
- Share options
- Work from abroad
Skills/Tech-stack
AI Pipelines | Artificial Intelligence | BigQuery | Claude API | Containerization | DBT | Docker | Experiment design | Explainability | Gemini API | GitHub | Looker | MLOps | Machine Learning | Python | SQL | Snowflake | Statistical Evaluation | TensorFlow | Unit Testing | Version control | Vertex AI | Vertex AI pipelines
Education
N/A
Roles
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