Data Scientist - Applied AI (Go-To-Market)
Tasks
- Analyze data to define scope
- Analyze model outcomes
- Build data pipelines
- Collaborate with engineering and stakeholders
- Deploy production ML models
- Develop AI/ML models
- Identify pricing opportunities
- Maintain ML models
- Prepare and explore data
- Translate business requirements into data science deliverables
Perks/Benefits
- Cycle to work scheme
- Deals and discounts
- Employee assistance plan
- Employee discounts
- Flexible working options
- Health cash plan
- Learning and development
- Life insurance
- Mindfulness app access
- Online GP
- Paid parental leave
- Paid training programs
- Paid volunteering days
- Pension
- Professional mortgage broker advice
- Season ticket loan
Skills/Tech-stack
AWS | Airflow | Attribution Modeling | BigQuery | Churn Prediction | Cloud Computing | Cloud platform | Data Pipelines | Data segmentation | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Information Retrieval | LTV modeling | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Predictive Modeling | Pricing Optimization | Production Deployment | Python | Recommendation Systems | SQL | Statistical Analysis | Vertex AI
Education
N/A
Roles
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